Dr. Lisa Feldman Barrett: How to Understand Emotions | Huberman Lab Podcast

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welcome to the huberman Lab podcast

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where we discuss science and

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science-based tools for everyday

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[Music]

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life I'm Andrew huberman and I'm a

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professor of neurobiology and

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Opthalmology at Stanford School of

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Medicine my guest today is Dr Lisa

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Feldman Barrett Dr Lisa Feldman Barrett

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is a distinguished professor of

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psychology at Northeastern University

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she also holds appointments at Harvard

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Medical School and Massachusetts General

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Hospital where she is the chief

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scientific officer of the center of law

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brain and behavior Dr Barett is

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considered one of the top World experts

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in the study of emotions and her

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laboratory has studied emotions using

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approaches both from the fields of

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Psychology and Neuroscience indeed today

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you will learn about the neural circuits

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and the psychological underpinnings of

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what we call emotions you will learn

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what emotions truly are and how to

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interpret different emotional states you

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also learn how emotions relate to things

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like motivation Consciousness and affect

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affect is a term that refers to a more

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General State of brain and body that

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increases or decreases the probability

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that you will experience certain

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emotions during today's discussion Dr

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Feldman Barrett also teaches us how to

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regulate our emotions effectively as

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well as how to better interpret the

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emotional states of others you'll also

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learn about the powerful relationship

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that exists between our emotional states

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and the movement of our body in fact

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much of today's discussion is both

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practical and will be highly informative

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in terms of the mechanisms underlying

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emotions and it is likely to also be

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surprising to you in a number of ways it

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certainly was surprising to me I've been

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a close follower of Dr Feldman Barrett's

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work over many years now and have always

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found it to be tremendously informative

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and when I say her work I mean both her

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academic published papers as well as her

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public lectures that she's given and her

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two fabulous books on emotions in the

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brain the first one entitled how

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emotions are made and the second book

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which includes information about

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emotions but extends beyond that

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entitled s and a half lessons about the

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brain as you'll see from today's

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discussion Dr Feldman Barrett is not

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only extremely informed about the

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neuroscience and psychology of emotion

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she's also fabulously good at teaching

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us that information in clear terms and

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in actionable ways you'll also notice

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several times she pushes back on my

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questions in some cases even telling me

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that my questions are ill posed and I

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have to tell you that I was absolutely

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delighted that she did that because

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you'll see that every time she did that

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it was with the clear purpose of putting

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more specificity on the question and

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thereby more specificity and Clarity on

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the answer which of course she delivers

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by the end of today's discussion you

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will have both a broad and a deep

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understanding of what emotions are and

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their origins in our brain and body you

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will also have many practical tools with

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which to better understand and navigate

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emotional states and moreover you'll

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have many practical Tools in order to

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increase your levels of motivation and

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better understand your various States of

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Consciousness before we begin I'd like

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to emphasize that this podcast is

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separate from my teaching and research

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roles at Stanford it is however part of

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my desire and effort to bring zero cost

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to Consumer information about science

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and science related tools to the general

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now for my discussion with Dr Lisa

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Feldman Barrett Dr Lisa Feldman Barrett

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welcome wow it's my pleasure to be here

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I've wanted to talk to you for a very

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long

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time I'd like to talk about emotions I

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think every everyone has a sense somehow

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of what an emotion is feeling happy

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feeling sad

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feeling excited

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feeling uh Curious perhaps is even an

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emotion I don't know you'll tell us what

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are the core components what are the

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sort of

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macronutrients of a of an emotion uh

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because I know there's a debate about

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whether or not we should be talking

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about emotions versus States but what is

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an

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emotion we all are familiar with what

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one feels like to us but from a

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scientific perspective how do you define

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an emotion well SCI this is a scientist

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debate about this um nobody in the last

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150 years has ever been able to agree on

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what an emotion is um and I think from

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my perspective the interesting but

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tricky bit is that anytime you want to

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talk about what the basic building

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blocks are of emotion none of those

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basic building blocks are specific to

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emotion so for example there are a group

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of scientists who will tell you well an

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emotion is a coordinated response where

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you have a change in um some physical

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state a change in the brain a change in

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the physical state um which um leads you

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to make a particular facial expression

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so you've got physiological changes in

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the body changes in the brain changes in

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the face or in motor movements

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okay but that describes basically every

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moment of your life um your face is

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always moving in some way if it wasn't

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you would look like an avatar basically

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so we're we're constantly engaged in in

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movements and those movements have to be

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coordinated with the physiological

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changes in the body because whether

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we're whether we're in a state that we

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would conventionally call emotion or not

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because the physiology is supporting

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those it's supporting the you know the

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glut glucose and the oxygen and all the

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things that you need to make uh

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movements of your body and of course all

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these movements are being coordinated by

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your brain so of course there's a

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coordinated set of um features that

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doesn't really describe how emotions are

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distinct from any other experience that

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you have but the the claim was for a

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really long time that there would be

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diagnostic patterns okay so when

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something triggered fear

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you would have an increase in heart rate

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and you would have um a propensity to

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run away or to freeze or um not just to

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fall asleep although that is something

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animals do when they are faced with a

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predator but that's not part of the

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western stereotype for fear so that

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wasn't what scientists were looking for

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and um and also that you would make a a

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particular facial expression which was

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presumed to be the universal expression

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of fear where you widen your eyes and

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you get gasp

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like um that facial set of facial

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movements in other cultures like in

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melanesian culture for example is um is

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a symbol of threat where you are

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threatening someone you are threatening

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them with aggression basically is a war

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face but in Western cultures that's the

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the face that Western scientists

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believed was the you know the the

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distinctive part of that distinctive

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pattern for fear and so the way that

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scientists defined emotion for a long

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time was these kind of um states where

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you'd see this diagnostic Ensemble of

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signals and that would mean that anytime

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someone showed one of those signals they

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may move their face in a particular way

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or their heart increased at a particular

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time you'd be able to diagnose them as

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being in a state of fear as opposed to a

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state of anger or sadness or whatever

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the empirical evidence um just doesn't

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bear that out and so it was kind of a

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mystery the mystery is how is it that

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you feel angry or sad or happy or you

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know full of gratitude or awe how is it

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that you experience these moments but

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scientists can't find a single set of

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physical

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markers that correspond with each state

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distinctively right that in a way that

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you could tell them apart that's a that

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was a really big puzzle for a really

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long

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time I have to ask you about this

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perhaps myth perhaps truth about facial

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expressions and

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emotions because as you were explaining

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the core components of

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emotions I had to think back to to the

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classic textbook images of the different

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faces associated with fear with delight

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with confusion on and on we we will get

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to that and your opinions on that

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scientifically informed opinions of

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course but there is a bit of a myth that

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the emotion system and the facial

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expression system run in both directions

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for

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instance people will say if you smile

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it's harder to feel sad or

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anxious I can't say that's been my

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experience but I very well could be

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wrong so we know that when people's

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emotional states change their facial

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expressions often will change right if

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you see someone crying on the street um

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versus somebody smiling really big you

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we can make some assumptions about what

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might be going on at uh internally for

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them but put simply is it true that

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changing one's facial expression

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can direct shifts in the brain and body

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perhaps that change our emotional states

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if you'll permit me what I would say is

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that your question is ill

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posed so first of all it presumes that

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there's an emotion

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system and that there's a facial

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expression system now clearly there's a

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system for moving facial muscles okay

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but a movement is not the same as an

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expression a movement is a movement an

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expression is an interpretation of the

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meaning of a movement not all movements

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of the face are

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expressions um and this is a you know a

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problem it's a problem in science um in

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it's often the case uh I think in my

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experience in the science of emotion but

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elsewhere to that scientists in their

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efforts to make their work

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um meaningful to people will try to

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interpret their findings in in ways that

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uh the average person would um find

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interesting or the way that a physician

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would find interesting or a teacher or

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what have you to be able to use this

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information but then they forget that

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they're actually making an

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interpretation and they start to refer

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to their observations with the labels of

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interpretation so facial movements are

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facial movements people move their faces

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and that those movements have meaning

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but they're not always to express an

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internal state in fact one might think

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that they're very rarely to um Express

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an internal state so I don't know that

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there's a facial expression system

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either so that's there is certainly like

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I said um there there's circuitry for

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moving a face but um but what those

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movements mean um is highly variable and

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so that would be my second point that

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where I would say when you see someone

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crying on the street you are not looking

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only at their face you might be

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aware um that you're focusing on their

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face that might be the part of the

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entire sensory Ensemble that you are

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focusing your attention on but your

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brain is taking in an entire ensemble of

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signals as you know it's taking in not

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just the you know movements of the face

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that tears or whatever it's taking in

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all of the the entire sensory array The

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Sounds the smells what's going on inside

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your own body your brain is being um

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bombarded with signals from from all of

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those sources and when it's making an

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meaning out of any signal it's doing it

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in an ensemble of signals so research

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shows that baby's

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cries aren't acoustically specific to

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when they're tired or hungry or right um

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the you can I can show you a video

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without context and show you someone

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crying and um you might make a judgment

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you might think make the stereotypic

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judgment in the west oh that person is

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sad and then we pan out and really you

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know it's a little girl whose dad just

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came home from Iraq or something right

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so brains are always interpreting faces

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in context they're making guesses this

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is something that I've talked about

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quite a bit that we don't read movements

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in people we don't read emotions in

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facial Expressions we make inferences

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about the emotional meaning of facial

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movements and we do it in an ensemble of

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other signals the the context uh as you

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if you will and that's really what's

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what's happening so um do I think that

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um that there is feedback from the face

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to the brain sure I mean there's

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feedback from every muscle but there's

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this constant conversation between the

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brain and the body um the brain is

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sending motor commands the body is you

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know has sensory surfaces which are

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sending signals back to the brain so if

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the face is influencing the brain it's

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doing so in a way that's not special it

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it's doing it in a way that that works

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for all other parts of your body too and

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I

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guess what I would say this kind of

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long-winded answer

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but over time your brain has

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learned that certain patterns of signal

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over

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time um recur and so if you're smiling

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if your brain is you know telling your

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your facial muscles to move in a

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particular way that looks like smiling

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um it's happening in a larger Ensemble

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of signals and then the brain is

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predicting what's going to happen next

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because it's learned over time

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what happens next so probabilistically

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so if you think about that as cause then

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sure but it's not as it's not this

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simplistic kind of idea that an emotion

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is triggered um uh it

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causes facial muscles to move in a

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particular way and therefore if you just

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pose your face in in those in that

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particular Arrangement it that will

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somehow feed back to the emotion system

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and change that system because there are

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no there is no emotion system in your

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brain and the the causation just isn't

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that it's not that simplistically

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mechanistic that makes sense to me I I

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uh frankly never bought the idea that

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just smiling would make me feel happy um

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especially if my internal state was not

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one of Happiness like fighting the

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internal state also um in the early

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2000s I think it was there was a lot of

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discussion about how positioning the

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body in certain ways you know taking up

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more space would allow people to feel

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more powerful and they some of these

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studies um and uh argued that there were

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even hormonal shifts associated with um

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taking up more space that were

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associated with feelings of empowerment

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and then when shrinking of oneself was

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in associated with elevated cortisol

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States and as I say all this I'm I I

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want to be clear that um do not take a

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simplistic view of the nervous system or

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endocrine system and I I didn't um I

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don't think that you were implying that

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either so want to make sure that anyone

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listening or watching isn't thinking

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that uh for instance that cortisol is

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bad cortisol is wonderful and essential

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you just need it regulate properly or

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that um the idea that the body and

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emotional states are are inextricably

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linked makes a ton of sense to me but

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the idea that you could just you know

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grab onto one of the nodes in the EM now

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I have to be careful not say emotion

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system um like position of the body like

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being hunched over makes you depressed

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no that never made sense to me taking up

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more space makes you feel more uh

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powerful that doesn't it it can't be

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that way and yet we were told for about

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a decade through especially through

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popular press that this stuff was true

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um and so what I love about your work is

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that it includes a neuroanatomical a

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psychological a Network perspective that

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that there isn't one seat of emotions

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and and so on um so if we could go a

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little bit further into the facial

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expression piece for a moment

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sure I was taught in my Psychology and

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Neuroscience textbooks because it was

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right there in front of me that there

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were some core categories of facial

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expression that were Universal cross

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cultures that conveyed something about

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the internal state of the person that

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the downward you know lips in the corner

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and and some and maybe even a furrowing

Time: 1198.4

of the brow was associated with negative

Time: 1201.28

veent States like sadness perhaps even

Time: 1203.88

depression that the opposite of upward

Time: 1206.36

turn corners of the mouth and widening

Time: 1208.6

of the eyes was delight and excitement

Time: 1211.52

some of that feels pretty true to my

Time: 1213.2

experience but how do you and other

Time: 1217.52

serious scientists of emotions view that

Time: 1222.2

somewhat classic literature now yeah so

Time: 1225.559

I'll just say that my um

Time: 1228.72

my journey here my scientific Journey

Time: 1231.6

was not one of um attempting to

Time: 1235.679

overturn um a Century's worth

Time: 1239.24

of are we alled to swear

Time: 1242.12

basically I mean it's just it's like

Time: 1243.88

it's it's stereotyp it's basically

Time: 1245.84

Western stereotypes enshrined as

Time: 1248.6

scientific uh fact and that sounds like

Time: 1253.24

a pretty harsh thing to say but I think

Time: 1255.84

I pretty much stand by that at this

Time: 1257.64

point

Time: 1258.799

um but for me when I was a graduate

Time: 1262.08

student When I Was An undergraduate in

Time: 1264.32

uh in Psychology and in physiology and

Time: 1267.44

in anthropology you know I also had read

Time: 1270.76

that Darwin said that there were these

Time: 1273.32

distinctive facial expressions that um

Time: 1276.679

were coordinated with specific emotional

Time: 1279.48

states specific states of the nervous

Time: 1281.6

system this was Darwin's View and I

Time: 1286.6

assumed it was correct

Time: 1289.039

um until I started to try to use that

Time: 1294.88

information um in the lab and everything

Time: 1297.72

fell apart you know so when you show

Time: 1300.24

someone in uh a laboratory like a

Time: 1304.159

student or um somebody from the

Time: 1306.52

community a face a disembodied face

Time: 1310.4

where their the person's eyes are

Time: 1312.36

widened in the face and they're gasping

Time: 1314.6

like a stereotypic fear

Time: 1317.039

expression most of the time they don't

Time: 1318.84

know what it

Time: 1319.96

is and so I would try to use these faces

Time: 1324.12

and um as stimuli and experiments and

Time: 1326.64

they W they weren't working the way that

Time: 1328.72

they were supposed to work and there

Time: 1332.64

were really going all the way back to

Time: 1334.679

the beginning of psychology there were

Time: 1336.2

always debates about whether or not this

Time: 1338.2

was actually accurate and there's a

Time: 1340.039

really interesting story about how

Time: 1341.64

Darwin came to this idea um which I can

Time: 1345.4

tell you about but it it's not because

Time: 1347.36

he cared about emotion and he was

Time: 1350

basically taking his own very Western

Time: 1353.12

views about emotion to make some claims

Time: 1357.159

about Evolution actually so um I have

Time: 1362.679

more to say about that and

Time: 1364.84

about why it's a problem to take

Time: 1367.159

anything that anybody said even Darwin

Time: 1371.08

from you know 150 or so years ago or

Time: 1374.52

whatever it is and treat it like it's a

Time: 1376.4

modern text you know he was writing at a

Time: 1378.76

particular time for a particular purpose

Time: 1381.679

um and that doesn't necessarily mean

Time: 1383.84

that whatever he wrote is

Time: 1385.799

true um but I'll just tell you what the

Time: 1388.52

evidence

Time: 1390.799

says um that there has been in

Time: 1395.24

Psychology a debate really vicious

Time: 1398.4

debate actually for probably 50 years

Time: 1401.6

about the nature of facial expressions

Time: 1403.799

and whether they are Universal and

Time: 1405.52

whether there's this onetoone

Time: 1406.679

correspondence between a particular face

Time: 1410.039

and like a facial configuration in a

Time: 1412.08

particular emotional state smiling in

Time: 1414

happiness scowling in Anger wrinkling

Time: 1415.799

your nose and disgust and so in

Time: 1421.24

2016 I think the association for

Time: 1424.4

psychological

Time: 1425.84

science um tasked me and some other

Time: 1429.559

senior

Time: 1430.6

scientists uh with attempting to write a

Time: 1434

white paper a consensus paper on what

Time: 1436.76

the literature actually show so what

Time: 1438.52

does the research actually show if you

Time: 1439.88

read all the research you know can you

Time: 1443.64

find a pattern there does it actually

Time: 1445.88

reveal anything about whether or not

Time: 1447.6

facial expressions are Universal

Time: 1449.08

particularly for emotion um and the way

Time: 1452.36

they do this they have a journal for

Time: 1454.24

this purpose for taking a widely held

Time: 1457.52

belief that is highly debated and

Time: 1459.88

bringing together a panel of experts who

Time: 1462.12

disagree with each other at the outset

Time: 1464.4

and they have to work together to see if

Time: 1466.559

they can come to consensus over

Time: 1468.399

the

Time: 1469.399

data and this is something that you know

Time: 1473.559

people have tried in the past and I mean

Time: 1476.32

they're really vicious people have been

Time: 1478.76

vicious with each other over this

Time: 1481.399

question so when we brought together a a

Time: 1485.44

group of people so me several people

Time: 1487.679

refused to serve senior scientists

Time: 1489.36

refused to serve on this panel but out

Time: 1491.36

of fear of losing their funding or

Time: 1494.2

something um you know that's a whole

Time: 1496.32

other conversation about

Time: 1498.48

why SC certain scientists would not want

Time: 1502.48

to engage W uh with um people who

Time: 1505.88

disagree with them um that's an

Time: 1507.919

interesting conversation to have but um

Time: 1510.76

I don't think it's as simple actually as

Time: 1513.08

just they their careerist or they they

Time: 1515.2

care about you know their money or or

Time: 1517.6

funding or whatever that would be an

Time: 1519.2

easy answer but I don't actually think

Time: 1520.679

that's what's going on but that's

Time: 1521.88

another sort of but anyway so uh there

Time: 1524.64

were five of us who got together um all

Time: 1528.08

senior scientists all from different

Time: 1530.08

fields some of us hadn't met each other

Time: 1532.12

before we all knew of each other of

Time: 1533.799

course and we met over Zoom for two and

Time: 1537.64

a half years this is preco because

Time: 1539.84

people were all over the world right and

Time: 1542.279

we we read over a thousand papers so so

Time: 1545.6

I was the only one in this group of the

Time: 1548.559

five of us who my starting hypothesis

Time: 1553.039

was that facial movements are meaningful

Time: 1556.679

but they're not there's no one-o-one

Time: 1559.279

correspondence between a particular

Time: 1562.279

facial configuration like a

Time: 1564.76

scowl and anger not not just that it

Time: 1568.36

would vary across cultures but that it

Time: 1570.88

varies AC for you across situations I

Time: 1574.799

mean do you scowl every time you're

Time: 1576.76

angry I don't scowl every time I'm angry

Time: 1579.52

in fact and I also scowl at times when

Time: 1581.24

I'm not angry

Time: 1583.159

so and there are scientific reasons to

Time: 1585.6

think that that the that a the

Time: 1588.44

collection of facial expressions that

Time: 1590.72

people make when they're angry or when

Time: 1592.52

they're sad or whatever would be highly

Time: 1594.039

variable so that was my starting

Time: 1596.159

position and then the there were varying

Time: 1599.279

four guys so there was I just refer to

Time: 1601.679

them as the guys because it was me and

Time: 1603.159

four guys and the guys they all to some

Time: 1607.2

extent thought that facial expressions

Time: 1608.52

were Universal but they had differing

Time: 1611

reasons and all for for for

Time: 1613.159

hypothesizing that and they

Time: 1614.84

also had different commitments degrees

Time: 1618.039

of commitment to

Time: 1619.6

that position but we right off the bat

Time: 1623.2

sort of agreed that we it didn't matter

Time: 1625.88

who was right that was just not relevant

Time: 1629.039

the only thing that mattered was that we

Time: 1631.44

could come to the consensus over the

Time: 1634.44

data and if we couldn't we had to really

Time: 1637.76

pinpoint why like so what would be the

Time: 1640.48

critical experiments that would have to

Time: 1642.12

be done in order for us to come to

Time: 1644.679

consensus over the data and we also

Time: 1646.96

agreed that um we had all kinds of

Time: 1650.52

contingency set up so you know you've

Time: 1652.52

got five senior people who are all

Time: 1654.679

running big labs and they're investing

Time: 1657.72

you know upwards of three years working

Time: 1659.559

on a paper so if we can't come to

Time: 1661.88

consensus what are we going to do are we

Time: 1663.24

going to write one paper and sort of

Time: 1665.72

write about the process or are we going

Time: 1667.48

to write separate papers or you know but

Time: 1670.76

we we had all these contingencies laid

Time: 1672.64

out but the key here I think is that we

Time: 1674.919

agreed that we were not going to be

Time: 1676.159

adversarial about it because it didn't

Time: 1678.48

matter who was right and in fact if

Time: 1680.679

somebody had to admit they were wrong

Time: 1682.039

and someone was going to have to admit

Time: 1683.519

they were wrong I mean it turns out all

Time: 1685

of us were wrong about something but it

Time: 1687.64

we were going to be like supportive of

Time: 1691.039

each other and and really encourage each

Time: 1694.399

other um because you know being wrong is

Time: 1696.84

no one likes to be wrong but for

Time: 1698.559

scientists to admit they're wrong is

Time: 1700.64

hard and it's something that we should

Time: 1702.48

encourage each other to do I think more

Time: 1704.399

and and more

Time: 1705.76

publicly and I think the people who do

Time: 1707.76

that are really Brave and so that was my

Time: 1709.72

position and they all agreed and the

Time: 1711.84

long story short here is

Time: 1714.84

that two and a half years a thousand

Time: 1718.08

papers later we all very reasonably came

Time: 1721.399

to consensus that there was no evidence

Time: 1723.519

for facial expressions of emotion being

Time: 1725.919

Universal and that instead what is what

Time: 1728.76

there's clear evidence of is um that

Time: 1732.72

facial expressions the way that people

Time: 1735.36

move their faces in in in moments of

Time: 1739.44

expression is highly variable

Time: 1743.559

meaning sometimes in Anger you scowl

Time: 1746.6

meta analyses so statistical summaries

Time: 1749.12

of many many many studies even in the

Time: 1751.919

west show that people

Time: 1755.039

scowl about 35% of the time when they're

Time: 1758.44

angry which is more than chance so it

Time: 1761.48

get you a good publication in you know

Time: 1763.399

the proceedings of the National

Time: 1765.2

Academy but that means 65 % of the

Time: 1768.519

time people are moving their faces in

Time: 1770.679

other meaningful ways that's not

Time: 1772.96

scowling so if you actually used a

Time: 1776.799

scowl um or even you know a scowl in

Time: 1779.6

blood pressure or you know just maybe

Time: 1781.64

not one signal but like a couple signals

Time: 1783.679

but you would be wrong more than half

Time: 1785.88

the time you would miss more than half

Time: 1787.559

the cases and even more

Time: 1790.88

importantly I think that that's the

Time: 1793

reliability question so there's low

Time: 1794.919

reliability for um the the

Time: 1797.44

correspondence between a scowl and anger

Time: 1801.12

it's above chance so scowling is one

Time: 1804.84

expression of anger but it's certainly

Time: 1806.88

not the dominant one and there is no

Time: 1809.36

dominant one it's just highly variable

Time: 1811.2

depending on the situation that you're

Time: 1812.48

in so sometimes when I'm angry I sit

Time: 1815.64

quietly and plot the demise of my enemy

Time: 1818

you know sometimes I smile in Anger

Time: 1820.72

Sometimes I Cry in Anger it really

Time: 1822.72

depends on the

Time: 1824.24

situation um but more importantly half

Time: 1828.12

of the scowls that people make are not

Time: 1830.919

related to

Time: 1832.399

anger that means that the

Time: 1836.159

specificity is

Time: 1838.159

again higher than

Time: 1841.519

chance but not that much higher than

Time: 1843.76

chance so if you see someone

Time: 1846.399

scowling the chances are that they might

Time: 1849.559

not be angry they might be concentrating

Time: 1852.48

really hard or they might have gas I

Time: 1855.399

mean there are a lot of reasons why

Time: 1856.559

people make a SC owl um and we found

Time: 1860.519

this for every emotion category that had

Time: 1862.639

ever been studied and I want you to

Time: 1864.2

notice what I just did there I'm not I'm

Time: 1866.24

no longer referring to an emotion as if

Time: 1868.24

it's an entity or a thing so anger isn't

Time: 1871.039

one thing it's a category of things a

Time: 1873.96

grouping of things and if I'm not

Time: 1875.84

mistaken it includes verbs right that

Time: 1877.88

like anger as a set of verb actions in

Time: 1881.32

the in the brain and body yes it's a

Time: 1884

process it's not an event process

Time: 1885.76

exactly it's not a noun it's a verb and

Time: 1888.36

it's a and it's a process but the point

Time: 1890.32

is that um it's it's a highly variable

Time: 1893.96

grouping of

Time: 1895.84

instances if you're if you are talking

Time: 1898.559

about all instances of anger all

Time: 1900.919

instances of anger that you have ever

Time: 1902.799

experienced or witnessed um is a highly

Time: 1906.559

variable grouping of instances That Vary

Time: 1909.679

that they that doesn't mean they're

Time: 1911.279

random but what the body does in Anger

Time: 1914.559

depends on what the physical movements

Time: 1916.24

will be in anger and that depends on the

Time: 1918.519

situation that you're in and what your

Time: 1920.76

goal is and um and there are ways to

Time: 1924.48

talk about that in Neuroscience terms

Time: 1926.24

which are a little more precise but the

Time: 1928.72

important thing to understand here I

Time: 1930.36

think is that we're only talking about

Time: 1932.72

Western cultures now the minute that you

Time: 1935.12

go outside of the West to or even to the

Time: 1939.639

east I mean so you know there are other

Time: 1942.039

cultures you know that have been studied

Time: 1944.84

um like uh China and cultures in China

Time: 1948.36

in Japan in Korea they they all have

Time: 1951.6

access to knowledge about Western

Time: 1954.12

cultural practices a norm so what

Time: 1956.6

happens when you go to you know to

Time: 1959.12

remote cultures which um have much less

Time: 1962.679

access so they it's not like they have

Time: 1964.039

no access because we live in a

Time: 1966.08

globalized world so even hunter

Time: 1967.679

gatherers in Tanzania the hza have

Time: 1970.36

access to Western practices and Norms

Time: 1972.96

but much less much less and we did do

Time: 1976.159

that and and um and all bets are off

Time: 1980

there I mean most of the time they don't

Time: 1982.96

even they don't even understand or

Time: 1985.72

experience facial movements as having

Time: 1987.639

anything to do with emotion so if they

Time: 1989.799

saw an emoji of a smiley face would they

Time: 1992.6

just assume it was a couple they might

Time: 1995.12

think it's a face there because as we

Time: 1997.559

both know there's some fairly hardwired

Time: 1999.32

brain circuitry for the the two eyes and

Time: 2002.32

a and a line beneath it and something in

Time: 2004.159

the middle that's pseudo nose that

Time: 2006.279

organization of just spatial features

Time: 2009.399

cues up face for both for most prates

Time: 2012.72

it's really interesting that you say

Time: 2013.6

that because yes of course that's true

Time: 2014.919

but it's not there at Birth what's there

Time: 2016.72

at Birth is a preference for that

Time: 2020.519

configuration right so it's it's like

Time: 2022.799

there's some and we could talk about why

Time: 2025.279

that's there it's actually very

Time: 2026.44

controversial but um but what babies

Time: 2029.84

what newborns Orient to they Orient to

Time: 2032.039

that or they Orient to that

Time: 2033.76

configuration but it doesn't have to be

Time: 2035.279

a face and then very quickly they start

Time: 2037.919

learning faces because they're exposed

Time: 2040.32

to fa I mean really the first three

Time: 2042

months of life is almost like a massive

Time: 2044.44

continuous tutorial on what faces are

Time: 2047.279

because they're you know being fed and

Time: 2049.919

and everyone's in your face saw a baby

Time: 2052.399

last night and you see the baby friends

Time: 2054.28

of have a unbelievably cute baby with

Time: 2056.839

the big cheeks and you want and there's

Time: 2058.32

this desire to see the baby smile right

Time: 2060.76

so you do the things that and if that

Time: 2062.32

the baby shows some sort of facial

Time: 2063.839

expression that makes it seem like it's

Time: 2065.44

a little bit um like resist in what

Time: 2067.56

you're doing you you stop doing it you

Time: 2069.079

change up your strategy and then when

Time: 2070.919

baby cracks a smile like now I'm going

Time: 2073.919

to assume that the baby may or may not

Time: 2075.639

have been happy inside um that little

Time: 2078.04

baby head um but when they do there's a

Time: 2081.639

reciprocity then we smile there's a

Time: 2084.24

template that that's very robust right

Time: 2086.359

but I want you to notice though that so

Time: 2088.24

first of all I'm not saying that um that

Time: 2091.679

recognizing faces a face as a face is

Time: 2094

not hardwired it is but it's hardwired

Time: 2097.04

by not by genes alone right and in fact

Time: 2100.32

there's a really wonderful book called

Time: 2101.599

not by genes alone basically there's

Time: 2104.28

cultural inheritance we have the kind of

Time: 2106.839

nature that requires nurture we have the

Time: 2109.119

kind of genes that require Early

Time: 2111.4

Learning we have we need wiring

Time: 2113.079

instructions from the world to get the

Time: 2115.119

rest of the information that we need to

Time: 2116.56

be competent culturally competent in our

Time: 2119

in our in our lives and that starts at

Time: 2122.4

Birth it probably starts before birth

Time: 2125.72

even um but um in the third trimester

Time: 2128.76

there's some evidence of learning fetal

Time: 2130.48

learning even in the third trimester so

Time: 2133.44

um the point is not that people aren't

Time: 2136.88

hardwired for viewing faces or

Time: 2139.16

recognizing faces it's just where does

Time: 2140.64

that hard wirring come from it's not by

Time: 2142.32

genes alone genes aren't the blueprint

Time: 2144.44

the brain is expecting certain inputs

Time: 2146.2

from the world and it needs that because

Time: 2148.4

infant brains are wiring themselves to

Time: 2150.44

their world and part of that world is

Time: 2152.24

people making faces at them and smiling

Time: 2154.4

and those people happen to also be the

Time: 2155.88

ones who are maintaining who are

Time: 2157.079

maintaining that baby's nervous system I

Time: 2159.4

mean there is reward learning right or

Time: 2161.96

reinforcement learning right off the bat

Time: 2164.24

because these are the people who keep

Time: 2166.28

you comfortable they are the ones who

Time: 2168.56

feed you they're the ones who help you

Time: 2170.8

get to sleep and so on and so forth and

Time: 2172.56

so you're going to be very very

Time: 2173.839

sensitive to changes in the

Time: 2175.92

contingencies of their behavior your

Time: 2177.8

brain as a pattern learner is just going

Time: 2179.92

to learn those patterns if we know that

Time: 2182.8

smiling is more you know smiling is a

Time: 2186.88

cue for happiness it's because we've

Time: 2188.599

learned it and that doesn't mean that

Time: 2190.839

that learning isn't hardwired it just

Time: 2193.64

means that it that information got into

Time: 2196.359

your brain by cultural inheritance which

Time: 2199.44

is a part of evolutionary

Time: 2202.52

theory in the extended evolutionary

Time: 2204.96

synthesis not in the original you know

Time: 2207.599

not in the original uh formulation that

Time: 2209.839

some people still kind of stick

Time: 2212.839

to as many of you know I've been taking

Time: 2215.2

ag1 daily since 20 2 so I'm delighted

Time: 2218.04

that they're sponsoring the podcast ag1

Time: 2220.359

is a vitamin mineral probiotic drink

Time: 2222.16

that's designed to meet all of your

Time: 2223.4

foundational nutrition needs now of

Time: 2225.44

course I try to get enough servings of

Time: 2226.96

vitamins and minerals through whole food

Time: 2228.68

sources that include vegetables and

Time: 2230.119

fruits every day but often times I

Time: 2232.24

simply can't get enough servings but

Time: 2234.16

with ag1 I'm sure to get enough vitamins

Time: 2236.44

and minerals and the probiotics that I

Time: 2238.28

need and it also contains adaptogens to

Time: 2240.64

help buffer stress simply put I always

Time: 2243.079

feel better when I take ag1 I have more

Time: 2245.359

focus and energy and I sleep better and

Time: 2247.92

it also happens to taste great for all

Time: 2249.88

these reasons whenever I'm asked if you

Time: 2251.64

could take Just One supplement what

Time: 2253.28

would it be I answer ag1 if you'd like

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to try ag1 go to drink a1.com huberman

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to claim a special offer they'll give

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you five free travel packs plus a year

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supply of vitamin D3 K2 again that's

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drink a1.com

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huberman so it's far more nuanced uh

Time: 2273.16

than it was presented to me in those

Time: 2275.359

textbooks and and it sounds like it was

Time: 2276.8

outright wrong on many dimensions well

Time: 2278.96

can I just mention one thing though

Time: 2280.359

please this is really serious stuff like

Time: 2284.079

sometimes people think well you know

Time: 2285.44

what's the big deal this is such a big

Time: 2287.64

deal I'll tell you why it's a big deal

Time: 2290.2

because in our culture people believe

Time: 2293.04

that they can

Time: 2294.16

read mental states of other people by

Time: 2297.24

their

Time: 2298.24

face and they believe it so much that

Time: 2300.56

it's enshrined in the legal

Time: 2303.28

system and there are people who lose

Time: 2306.88

their lives because juries

Time: 2311.68

believe that they can read remorse or or

Time: 2315.4

the lack of it and in fact there was

Time: 2317.28

just a case um you know last year I

Time: 2321.72

believe where um you know the Innocence

Time: 2325.28

Project uh got involved because there

Time: 2327.319

was a woman who was on death row and

Time: 2328.92

what put her on death row was um a

Time: 2332.68

police officer's claim that he could

Time: 2334.76

read her emotions by her the comportment

Time: 2339.28

of her face and her

Time: 2341.119

body and um and you know uh it was

Time: 2346.24

possible to get a stay of execution so

Time: 2349.079

that she could be retried and you know

Time: 2353.24

um so I'm not saying she was guilty or

Time: 2355

not guilty I'm just

Time: 2356.599

saying what put her on death row was

Time: 2360.359

evidence that would not be admissible in

Time: 2362.319

a

Time: 2363.16

scientific um way now um and there are

Time: 2368.079

there are lots of cases where judgments

Time: 2371.4

are made that end up impacting people's

Time: 2374.76

lives in pretty serious ways so this is

Time: 2378.04

a really serious thing and it's um it's

Time: 2383.16

puzzling to

Time: 2384.359

me why it's so it's got such traction

Time: 2388.68

this idea that there are these

Time: 2390.64

Universal um Expressions that we can use

Time: 2393.64

to read each other you know um it's it's

Time: 2397.599

just not true I mean the science just

Time: 2400.079

it's so overwhelmingly I feel like you

Time: 2403.04

know scientists I don't like to use the

Time: 2405.16

t word you know the FW fact you know

Time: 2408.28

it's a scary word t word truth but I

Time: 2411.119

think in this case I feel like I can I

Time: 2412.96

can really at least with a little te I

Time: 2414.88

can I can use it you probably have

Time: 2418.48

particular facial movements that you

Time: 2420.16

make on a regular basis that are tells

Time: 2422.56

for you I know I do you know my husband

Time: 2425.04

can look at my actions and he can make

Time: 2427.599

really decent guesses about what's going

Time: 2430

on for me upstairs right but that's

Time: 2431.92

because he's known me for 30 years

Time: 2433.839

actually 30 years today I should just

Time: 2436.599

met each other 30 years ago today but

Time: 2438.8

he's you know brains are pattern

Time: 2440.04

Learners so I'm not saying that

Time: 2441.72

everything is random and like there's no

Time: 2443.24

it's all noise I'm saying that there

Time: 2445.04

just aren't

Time: 2446.319

these you know Universal templates they

Time: 2449.28

just it's not like that and we really

Time: 2451.119

have to stop assuming that that that

Time: 2454.52

there are well I'm so glad that you're

Time: 2457.52

getting that message out there and I'm

Time: 2459.24

very thankful that you highlighted the

Time: 2461.52

seriousness of this um these myths that

Time: 2465.599

have propagated and that's a perfect

Time: 2468.4

segue into what I was already going to

Time: 2470.4

ask which is um it's based on something

Time: 2473

that I think is in very much agreement

Time: 2474.839

with what you're saying a previous guest

Time: 2476.64

on this podcast I think it was our first

Time: 2478.72

guest episode Dr Carl di Roth colleague

Time: 2481

of mine at Stanford incredible

Time: 2483.76

bioengineer um really you know

Time: 2487.079

0.01% in his you know category of

Time: 2489.72

science as well as a practicing uh

Time: 2492.119

psychiatrist said something which really

Time: 2494.319

stuck with me over the years which I

Time: 2496.16

once heard him say you know we don't

Time: 2499.359

really know how other people feel at all

Time: 2501.68

in fact most of the time we don't even

Time: 2503.4

know how we feel and that prompted the

Time: 2508

question for me about how good or poor

Time: 2511.72

are we at gauging our own emotional

Time: 2514.52

states and in particular at labeling

Time: 2516.839

them both to others and for ourselves

Time: 2519.24

and and so here's the the direct

Time: 2522.319

question is language sufficient to

Time: 2526

capture this incredibly complex thing

Time: 2528.76

that we're calling emotions so for

Time: 2531.56

instance the other day I was in New York

Time: 2532.92

with my sister then she left I went out

Time: 2534.599

for a bit I was having a pretty good day

Time: 2535.88

and then I returned to the place where I

Time: 2537.52

was staying and I was hit with this

Time: 2538.92

feeling of intense loneliness and I

Time: 2541.92

don't know why and then I had a bunch of

Time: 2543.64

ideas about how that related to growing

Time: 2546.559

up and but I was going to see friends

Time: 2548.48

the next day and I'm an adult and so I

Time: 2550.079

could use some top down regulation and

Time: 2552.559

say oh you know maybe I'm a little tired

Time: 2554.4

or I didn't because I hadn't slept as

Time: 2555.88

well the night before I've been pretty

Time: 2557.96

rested recently and then I actually

Time: 2559.2

wrote in my journal I I said you know

Time: 2560.88

maybe most of feeling good is being

Time: 2562.8

pretty well rested and not in any

Time: 2564.319

physical pain that's a big part of

Time: 2566.2

feeling good is the absence of fatigue

Time: 2569.52

and the absence of physical

Time: 2571.72

pain and and then I thought wow that's

Time: 2574.48

just so basic that's like two bill buing

Time: 2576.44

blocks is clearly insufficient but then

Time: 2579.48

I couldn't think of a word to adequately

Time: 2581.44

describe the emotion that came about an

Time: 2583.64

hour later when I was feeling a little

Time: 2585.119

bit better but not completely better so

Time: 2587.92

was I lonely not really not anymore was

Time: 2589.92

I sad not really but you know as I had

Time: 2592.559

headed out into the city I was thinking

Time: 2594

I don't really have a word for how I

Time: 2595.72

feel I'm sort of okay not great not low

Time: 2599.839

you know and so I think that we have

Time: 2601.599

emotional labels I certainly do for Peak

Time: 2604.24

you know these Peak emotional states

Time: 2605.68

super happy I loved the time with my

Time: 2607.559

sister we do this every year this was a

Time: 2609.04

particularly good year for us um to do

Time: 2611.48

this and and it went really well we were

Time: 2613.359

texting back and forth how great it was

Time: 2615.28

I certainly know what it feels like to

Time: 2616.52

be really down in the in the pits I've

Time: 2619.68

got language for that but then there's

Time: 2621.2

this huge range in between and so I

Time: 2623.4

guess the simple question is should we

Time: 2625.68

even trust language as a way

Time: 2628.359

to understand how we're feeling or are

Time: 2630.88

there additional if not better signals

Time: 2634.079

that we should perhaps learn to

Time: 2636.559

elaborate um our understanding of

Time: 2639.16

emotions

Time: 2640.52

with so I'm going to give you a a simple

Time: 2643.599

answer and then I'm going to give you a

Time: 2646.119

more complicated answer right so the

Time: 2648.079

simple answer is no language is not

Time: 2650.64

sufficient period I think the way that

Time: 2653.24

you have well I should say one language

Time: 2656.76

is not sufficient so English is not

Time: 2659.48

sufficient and probably French on its

Time: 2661.44

own is not sufficient and probably

Time: 2663.16

Swahili on its own is not sufficient

Time: 2666.4

although it's very interesting that the

Time: 2669.72

the states that we Mark with words in

Time: 2673.76

each culture some of them overlap but a

Time: 2676.76

lot of them don't and it's very very

Time: 2679.839

useful to have labels of emotion

Time: 2683.119

Concepts from other cultures that that

Time: 2686.319

capture configurations or a state that

Time: 2690

we we don't really Mark we don't Mark

Time: 2692.119

those and and sort of distinctively pull

Time: 2694.88

them out as as different from other

Time: 2697.16

states I'd love to know what some of

Time: 2698.72

those are oh there there um I should

Time: 2701.64

have brought them with me I mean there

Time: 2703.119

there are some like there's one there's

Time: 2704.599

a German word which I can't remember the

Time: 2706.599

name of the word but it's like um the

Time: 2709.52

experience of someone having a face that

Time: 2711.64

deserves a punch I'm sure someone will

Time: 2714.24

tell us in the comments someone someone

Time: 2716.04

who knows German or spend time there

Time: 2717.8

please put that word in in the comments

Time: 2720.04

but don't don't punch any another one

Time: 2721.599

that's my favorite is um um liot which

Time: 2725.72

is is um it's a Polynesian um head

Time: 2729.44

hunting um uh emotion word and it

Time: 2733.88

means um exuberant aggression in a

Time: 2738.64

group like soccer or or head

Time: 2742.64

hunting right where you're basically um

Time: 2746.04

or I should say also um in the military

Time: 2749.24

so when I was listening to m one day A

Time: 2751.64

couple of years ago must have been more

Time: 2753.2

than that because it's in my book so it

Time: 2754.48

was probably more than seven years ago

Time: 2756.599

I was listening to these guys talk these

Time: 2759.52

former um um military uh Personnel talk

Time: 2763.599

about being um deployed in a war where

Time: 2768.2

they're with their buddies and

Time: 2771

they're they're basically hunting the

Time: 2773.88

enemy and they

Time: 2776.079

feel exuberant like they're you know and

Time: 2779.839

and they're it's not that they're happy

Time: 2782.079

but they're it's Pleasant and it's very

Time: 2784.119

intense very high arousal you know and

Time: 2788.04

in the moment it it seemed right and

Time: 2790.96

then they come back um you know and they

Time: 2793.599

ask themselves like they come back and

Time: 2795.4

so they're now you know their

Time: 2797.359

deployments ended now they're back home

Time: 2798.8

and they're like am I a psychopath like

Time: 2800.48

I enjoy killing people what is this

Time: 2801.88

about and I was thinking no no you just

Time: 2803.76

experienced liot and if you had a word

Time: 2806.2

for it you would understand that it's a

Time: 2808.44

groupy feeling where you're all in it

Time: 2810.8

together and it's really intense and you

Time: 2813.64

know they were experiencing the um the

Time: 2817.48

intensity of of um having their life on

Time: 2820.119

the line and and being responsible for

Time: 2822.64

their for their brothers you know and

Time: 2825

sisters in in in their troop you know so

Time: 2828.4

um the the what they would realize is

Time: 2831.839

it's a perfectly it's perfectly within

Time: 2833.64

the range of normal human variation it's

Time: 2836.68

just that in English we don't have a

Time: 2838.16

word for it really but there are words

Time: 2840.4

there are Concepts in other languages

Time: 2842.44

right or the other one that I like is

Time: 2844.4

called gigle which is where when you see

Time: 2846.64

a baby who's really cute and you just

Time: 2848.64

want to like oh you yesterday evening

Time: 2852.04

squee oh my God that kid was so cute

Time: 2854.16

those little cheeks are just like

Time: 2855.48

jumping at you and and the parents are

Time: 2858

delightful people too and they was just

Time: 2860.04

facing out cuz they had one of those

Time: 2861.599

outward facing baby things and it's just

Time: 2863.88

sort of like yeah it's and I thinkle

Time: 2866.76

it's called it's gigle gigle oh keigle

Time: 2869

is from the other episode that we did on

Time: 2871

well it also has to do with babies but

Time: 2872.64

yeah in a different way um or there's

Time: 2874.839

one in I think there's a Japanese

Time: 2876.44

word for the despair that you feel when

Time: 2878.48

you got a bad

Time: 2879.68

haircut really yeah cuz it's I mean it's

Time: 2883.04

really is a different kind of feeling

Time: 2885.2

than you know because you got to like

Time: 2886.4

wait for it to grow up you know whatever

Time: 2887.96

anyways the point being that amazing

Time: 2890.119

words for us Mark particular States and

Time: 2893.48

they're not all the they're not always

Time: 2894.72

the states that other people in other

Time: 2896.44

cultures care about but I there's a but

Time: 2899.44

the even again the phrasing of your

Time: 2901.24

question I just want to come back to and

Time: 2903.4

I'm not trying to pick at you but feel

Time: 2905.359

free what I love is that what what you

Time: 2907.079

said before when you said my question

Time: 2908.68

was illposed in your in the answer that

Time: 2912.28

followed it made it very clear why and I

Time: 2915.88

learned something about how the the the

Time: 2918.44

the not emotion system but the things

Time: 2921.64

plural that that create emotions work so

Time: 2924.559

uh feel free I I I grew up in the same

Time: 2926.4

culture that you did I'm not Canadian by

Time: 2928.359

birth but but in the academic culture

Time: 2930.64

yeah you know I mean the the stuff that

Time: 2932.319

we take online by the way folks is

Time: 2934.319

nothing compared to the kind of hazing

Time: 2936.4

that I experienced growing up in uh in

Time: 2939.64

academic culture as it was done then I

Time: 2942.319

don't know if it's still that way now so

Time: 2944.119

uh feel free yeah I'm tougher than I

Time: 2945.799

look well no I think my point is that

Time: 2947.48

I'm trying to get at here is that when

Time: 2949.48

we ask questions any of us me too

Time: 2952.079

anybody ask a question there are certain

Time: 2954.079

assumptions that we're making in order

Time: 2955.799

to allow us to pose the question and

Time: 2959.4

sometimes what I'm taking issue with is

Time: 2961.28

not the question itself but it's the

Time: 2964.24

assumptions behind the question right

Time: 2967.4

and this is a very classic thing in

Time: 2969

philosophy of science which I know I

Time: 2970.559

just said the p word philosophy which

Time: 2972.359

scientists you know usually they roll

Time: 2973.76

their eyes back in their head and fall

Time: 2975.16

over when you talk about that but I

Time: 2976.96

think it's really important so you know

Time: 2979.599

can language is language sufficient to

Time: 2982.319

label or to to to gauge emotional states

Time: 2986.92

kind of sounds like and this is the

Time: 2988.72

assumption that people make that there's

Time: 2990.44

a state in here called an emotion and

Time: 2992.72

now I have to label it I have to

Time: 2994.799

identify it

Time: 2996.319

that is not how it works like that is

Time: 2998.559

not what your brain is doing at all and

Time: 3001.319

in order to explain what I think is

Time: 3003.48

happening and what I my best available

Time: 3005.96

guess you know like based on what I

Time: 3007.96

understand it's like not even remotely

Time: 3011.24

that that is just not a meaningful

Time: 3013.2

question at all um I do think words are

Time: 3016.92

important I just don't think that they

Time: 3019.92

have to be insufficient by virtue of

Time: 3021.68

what the brain is actually doing and the

Time: 3024.04

way that I come at this is just really

Time: 3025.839

different from a lot of my colleagues so

Time: 3028.88

really for a hundred years at least I

Time: 3032.72

hate when people say things like that

Time: 3033.96

like for a hundred years but it really

Time: 3035.28

is like for for a hundred years at least

Time: 3037.839

what psychologists and neuroscientists

Time: 3040.24

do have did and are still doing is they

Time: 3043.04

start with a folk experience a folk

Time: 3046.119

category a common sense experience I

Time: 3047.68

feel angry uh I'm making a decision um

Time: 3050.72

having a memory I'm remembering

Time: 3052.04

something they start with their

Time: 3053.96

experience and then they go looking for

Time: 3055.839

the physical basis of that experience in

Time: 3057.799

the brain or in you know in the

Time: 3061.44

body I think that's really problematic

Time: 3064.76

because not everybody in the world

Time: 3066.4

actually uses those categories or has

Time: 3068.119

those experiences a lot of that has to

Time: 3070

do with the scientific publication

Time: 3071.88

process one of the most important

Time: 3073.839

statements I ever heard is from the late

Time: 3075.72

Ted Jones one of the greatest neur

Time: 3077.359

anatomists of probably the last 500

Time: 3080.4

years

Time: 3081.96

um which was the following he said a

Time: 3085.48

drug is a substance that when injected

Time: 3087.72

into an animal or a person produces a

Time: 3090.44

scientific

Time: 3091.68

paper and in many way foot yeah yeah you

Time: 3095.2

kind of catch catch you square in the

Time: 3096.839

face can you go oh right yeah I mean

Time: 3099.28

basically every drug disrupts if taken

Time: 3103.4

an hour or two before sleep changes the

Time: 3105.839

amount of REM sleep that you get so so I

Time: 3108.559

could imagine that almost any

Time: 3110.16

perturbation of the language system the

Time: 3112.799

body the facial movements system could

Time: 3116.4

give you a quote unquote effect that you

Time: 3118.079

could write a paper about yeah but that

Time: 3119.799

doesn't mean it has any semblance

Time: 3121.48

whatsoever to what's happening in the

Time: 3122.96

world when we or other people experience

Time: 3124.839

emotions and here's the here you know

Time: 3126.839

there's so much in what you said that I

Time: 3128.28

I just want to it's very it's very

Time: 3130.04

exciting to talk to you so the first

Time: 3131.839

thing I'll say is that

Time: 3133.28

um you know we often will identify we we

Time: 3138.799

as in the you know people but also

Time: 3141.599

scientists

Time: 3143.4

identify biological

Time: 3146.64

um signals um by what we believe them to

Time: 3151.119

mean psychologically so serotonin is is

Time: 3154.88

a happiness chemical no serotonin

Time: 3157.24

evolved as a metabolic

Time: 3159.2

regulator it is a metabolic regulator

Time: 3162.319

and whatever it's doing it's allowing an

Time: 3165.24

animal to

Time: 3166.96

spend

Time: 3168.76

resources when the animal the animal's

Time: 3172.04

brain isn't sure there's a a reward at

Time: 3174.76

the end of that right so you were saying

Time: 3176.68

before you know the absence of fatigue

Time: 3179.68

the absence of discomfort that's a

Time: 3181.559

that's a pleasant feeling right well

Time: 3183.76

yeah so maybe serotonin has something to

Time: 3186.119

do with pleasantness because it has

Time: 3188.119

something to do with energetics right

Time: 3190.319

cortisol cortisol is not a stress

Time: 3192.44

hormone it's not a stress hormone I mean

Time: 3195.52

it's a hormone that is secreted more

Time: 3198.88

when the brain believes that there is a

Time: 3201.88

big metabolic outlay that's

Time: 3203.799

required that's what stress is basically

Time: 3206.359

it's the brain believes there's a big

Time: 3207.68

metabolic outl that's about to be

Time: 3209.319

required and it matters these kind of

Time: 3213

like little semantic tweaks like they

Time: 3215.24

matter a lot because of how we do

Time: 3218.28

because of how we do research so I would

Time: 3220.559

say I don't start with the categories

Time: 3223.599

that derive from English and my own

Time: 3225.72

experience um I start with the nervous

Time: 3230

system I try to learn what is the best

Time: 3233.88

available evidence for for how that

Time: 3236.119

nervous system evolved how it developed

Time: 3239.24

how it structured right Anatomy to me is

Time: 3243.119

very important some of my best

Time: 3244.88

hypotheses come from just learning the

Time: 3248.079

anatomy and realizing oh well there's a

Time: 3249.88

connection there that's direct that mean

Time: 3251.799

that should mean something you know I

Time: 3253.76

mean um I could give you lots of

Time: 3256.44

examples of um uh where we've had we've

Time: 3260.119

made discoveries solely because we

Time: 3262.24

noticed an an a set of anatomical

Time: 3264.16

connections and were're really curious

Time: 3266

about what they might be involved with

Time: 3268.88

but if you start with that premise then

Time: 3272.72

you think about the brain in I think

Time: 3274.52

about the brain a really different way

Time: 3276.72

right so I don't think about the brain

Time: 3278.52

as a stimulus driven

Time: 3280.559

organ um I think about it more like this

Time: 3284.359

that the the brain is

Time: 3289.119

um first of all the brain is not running

Time: 3291.599

a model or or making inferences about

Time: 3294.599

the world

Time: 3296.4

all the brain knows is are signals from

Time: 3299.76

the sensory surfaces of its body so your

Time: 3302.72

brain is modeling your retina and it's

Time: 3304.799

modeling your ca and it's modeling the

Time: 3307.079

sensory surfaces of the

Time: 3309.24

skin and sure signals you know are you

Time: 3313.28

know hit those surfaces and those

Time: 3315.16

surfaces transduce those signals and

Time: 3317.079

send them up to the

Time: 3318.599

brain but the brain only knows the body

Time: 3323.079

and anything it knows about the world it

Time: 3325.44

knows about the world through the body

Time: 3327.359

through the sensory surfaces of the body

Time: 3329.079

so that's the first for me really big

Time: 3330.96

important point the second important

Time: 3333.599

point is that I think about the brain as

Time: 3335.839

being trapped in a dark silent

Time: 3338.039

box called your skull you know and it's

Time: 3342.079

so weird saying these things to you

Time: 3343.64

you're so much you know you're like

Time: 3346.16

you're this really esteemed like

Time: 3349.039

neuroscientist in here I am explaining

Time: 3350.76

to you how I think the brain works it's

Time: 3352.559

just very you know what's important for

Time: 3354.599

our audience but it's also important for

Time: 3356

me even though yes I know I know these

Time: 3359.24

facts but it's I believe it's always uh

Time: 3363.799

informative to go back to the

Time: 3365.44

fundamentals because we forget you know

Time: 3368

actually I would say that the uh someone

Time: 3369.68

once described um the I'll call him the

Time: 3372.119

great because he's a great visual

Time: 3373.119

neuroscientist uh visual neuroscientist

Time: 3375.119

Tony maavin who founded the department

Time: 3377.119

of of neuroscience at NYU once said you

Time: 3379.2

know a real intellectual is somebody

Time: 3381.48

that can appreciate and work with a

Time: 3383.76

topic at multiple levels

Time: 3386.44

it's not and oftentimes the more experti

Time: 3389.68

is associated with more focus on detail

Time: 3391.64

so I love returning to the core Basics

Time: 3393.599

so I I think it's wonderful please

Time: 3395.4

please continue so I think about the

Time: 3396.88

brains being trapped in this box and um

Time: 3400.079

it's receiving signals continuously from

Time: 3402.48

the sensory surfaces of the body but

Time: 3404.799

those signals are the outcomes of some

Time: 3406.64

set of changes and the brain doesn't

Time: 3408.24

know what the changes are it doesn't

Time: 3409.839

know the causes of those signals it just

Time: 3411.48

knows the outcomes it knows the signals

Time: 3413.88

that's what it's receiving

Time: 3415.44

and so it has to guess at what the

Time: 3418.44

causes of those signals are in order to

Time: 3420.799

stay

Time: 3422.52

alive

Time: 3424.119

um and so that's in philosophy called an

Time: 3427.319

inverse problem so the brain just has a

Time: 3429.2

massive continuous inverse problem that

Time: 3431.76

it has to deal with all the time like it

Time: 3434.319

can't have it doesn't have access to all

Time: 3436.119

the information no it's just a guessing

Time: 3438

machine it's a guessing machine so for

Time: 3440.28

example um you know if you hear a loud

Time: 3443.119

bang what is that loud bang could be a

Time: 3446.559

car door slamming it could be thunder it

Time: 3450.52

could be a car backfiring it could be a

Time: 3453.72

gunshot the brain doesn't know it has to

Time: 3457

guess and it's not making a guess like

Time: 3460.319

uh intellectual guess the Guess is a

Time: 3464.559

motor plan it's a plan for changing the

Time: 3468.88

internal state of the body in order to

Time: 3471.559

support motor skeletal motor movements

Time: 3474.52

do I do I need to run do I need to shut

Time: 3476.52

the window do I need to get an umbrella

Time: 3478.599

do I you know do I need to hold my

Time: 3480.599

breath because the car is backfired you

Time: 3482.079

know what do I need to do so where does

Time: 3484.2

that plan come

Time: 3485.88

from well it comes from past experience

Time: 3490

the experience that's been wired into

Time: 3491.92

the

Time: 3493.079

brain um what the I think that the

Time: 3496.16

evidence suggests that what the brain is

Time: 3497.96

doing is

Time: 3502.28

basically reinstating

Time: 3505.359

bits and pieces of past experience so

Time: 3508.72

remembering although we don't experience

Time: 3510.92

ourselves as remembering but basically

Time: 3512.4

it's reimplementing ensembles of

Time: 3515.72

signals from the past that are similar

Time: 3519.359

to the present in some

Time: 3521.599

way now a bunch of things which are

Time: 3524.319

similar to each

Time: 3526.68

other in Psychology is a

Time: 3531.039

category so what the brain is doing is

Time: 3533.28

it's creating a it's constructing a

Time: 3534.96

category and in fact we think about the

Time: 3537.2

brain as a continuous category

Time: 3539.319

Constructor it's constructing a category

Time: 3542.96

of possible Futures possible outcomes

Time: 3546.16

possible motor

Time: 3548

plans

Time: 3549.68

and how does it know which is the right

Time: 3552.28

one because it's not just picking one

Time: 3554.2

there's going to be some sample that

Time: 3556.52

it's re it's re-implementing but how

Time: 3558.68

does it know which one which is the

Time: 3560.68

right one because there can only be one

Time: 3562.839

well I feel like in the example of a

Time: 3564.119

loud noise

Time: 3565.2

what I immediately thought of as you

Time: 3566.72

were describing that is that my system

Time: 3568.88

would become aware of it I would become

Time: 3571.4

aware of it but then it's a question of

Time: 3573.319

is there another loud noise how closely

Time: 3575.319

are those loud noises spaced is it

Time: 3577.4

getting louder or less loud and then and

Time: 3580.28

so a bunch of categories it it's like a

Time: 3582.48

bookshelf with an infinite number of

Time: 3584.2

books but then with the second loud

Time: 3585.88

noise now it's just you know one uh wing

Time: 3589.039

of the library and then with the the

Time: 3590.599

next thing that happens and the context

Time: 3592.24

it starts narrowing and then pretty soon

Time: 3593.599

you get presented with the book that

Time: 3595.24

says you know the roof is about to cave

Time: 3597.48

in sure and and I think your your PO

Time: 3599.559

your your analogy there is pointing out

Time: 3601.28

two things one is that um really why why

Time: 3606.28

the what the brain is attempting to do

Time: 3607.68

is to reduce

Time: 3609.16

uncertainty because uncertainty is super

Time: 3612.16

expensive now sometimes we like

Time: 3615

deliberately you know cultivate

Time: 3616.799

uncertainty right like we do not you

Time: 3618.799

know we deliberately try to learn things

Time: 3620.4

we don't you know that we don't know we

Time: 3623

we you know put ourselves novel

Time: 3625.079

situations you know we seek novelty and

Time: 3627.559

because it's fun and interesting and

Time: 3628.92

whatever sure but imagine every single

Time: 3632.92

waking moment of your life was like that

Time: 3635.68

where you didn't know you couldn't

Time: 3637.28

narrow things down from the library to

Time: 3639.48

the wing to the Bookshelf to the you

Time: 3642.559

know the to the the particular shelf on

Time: 3645.44

that bookshelf to yeah you terrifying

Time: 3648.64

yeah it would be that's the label I

Time: 3650.2

would give it it would be terrifying cuz

Time: 3652.119

I couldn't plan anything or do anything

Time: 3653.599

because all possibility are open right

Time: 3655.799

it's and it's just actually

Time: 3657.28

metabolically

Time: 3659.24

unsustainable and you know there are

Time: 3661.28

some there are some brains that are

Time: 3663.28

wired in a way that they don't predict

Time: 3665.48

very well they don't create these

Time: 3667.48

categories very well and so they're

Time: 3669.96

they're dealing

Time: 3671.88

with in really unbelievable amounts of

Time: 3676.599

uncertainty so that's one thing I is but

Time: 3679.16

that part of what's the goal here if you

Time: 3681.92

could say there's a goal is to reduce

Time: 3683.24

uncertainty and I'm going to get why

Time: 3685.039

this has anything to do with emotion in

Time: 3686.48

a minute but I I just need to set up the

Time: 3689

ground rules or the assumptions uh you

Time: 3692.039

know of what I'm what I'm working with

Time: 3693.799

here so the other thing though that you

Time: 3696.599

pointed out which I think is really

Time: 3698.44

important is that the um none of this is

Time: 3702.44

static it's all evolving over time right

Time: 3705.44

the signals are evolving over time so

Time: 3708.079

both the signals that are constantly

Time: 3710.44

hitting the sensory surfaces of the body

Time: 3712.72

and making their way to the brain but

Time: 3714.559

also the intrinsic signals in the brain

Time: 3716.96

it's all changing over time so when we

Time: 3719.64

talk about context that's important how

Time: 3722

is the brain making a decision about

Time: 3724.119

similarity like what are the features

Time: 3726.079

that are similar it's it's not just at a

Time: 3730.039

single snapshot in time it's always

Time: 3732.279

happening dynamically over time right

Time: 3735.319

and most of the time

Time: 3736.96

though you don't ask your you don't wait

Time: 3739.64

to hear a second sound you don't you're

Time: 3742.279

not deliberately attempting to figure

Time: 3745.319

out what the sound is your brain is just

Time: 3747.44

sorting it out right and it's sorting It

Time: 3750.559

Out by narrowing down the possibilities

Time: 3752.68

and there are some selection mechanisms

Time: 3755.799

in the brain that help it guess better

Time: 3759.839

but also the signals coming from the

Time: 3763.079

world um are are also helping to select

Time: 3767.44

which

Time: 3768.64

possibility um is the right one I'd like

Time: 3771.559

to take a quick break and acknowledge

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Time: 3837.64

there's this scene that comes to mind

Time: 3839.44

from that movie I think it was Saving

Time: 3840.799

Private Ryan where like the the um the

Time: 3844.64

guys that are about to hit the ground on

Time: 3847.72

D-Day are flinching with every crack of

Time: 3851.359

gunfire like they're just everything's a

Time: 3853.68

stimulus to move and to end and then

Time: 3856.68

some of the more

Time: 3857.92

seasoned soldiers are literally having

Time: 3862.2

bullets whizzing by their head and

Time: 3865.039

people are dropping Dead all around them

Time: 3867.319

and they're moving forward steeli and

Time: 3869.88

stable and upright and in part we look

Time: 3873.799

at that and and say okay they're

Time: 3875.72

courageous they're seasoned maybe

Time: 3877.039

they're desensitized in certain ways but

Time: 3879.279

actually it fits much better with the

Time: 3881.64

idea based on what you're saying it fits

Time: 3883.799

much better with the idea that um they

Time: 3886.319

have intimate knowledge both conscious

Time: 3888.559

and unconscious knowledge that something

Time: 3892.599

right next to them is a threat but not a

Time: 3894.72

threat worth responding to right exactly

Time: 3896.599

but if it were headed straight for them

Time: 3898.44

they would quite quite understand what I

Time: 3900.359

would say it's is that it's um it's not

Time: 3903.68

uh you know I keep referring to things

Time: 3905.64

as signals and really I'm just I'm

Time: 3907.88

that's like my generic word for a

Time: 3910

quantity of energy of some sort you know

Time: 3912.599

but your brain my brain every brain is

Time: 3914.72

constantly making signal noise distinct

Time: 3917.319

you know like distinctions do I need to

Time: 3918.72

care about this do I do I not need to

Time: 3920.279

care about this right and we have ways

Time: 3922.52

of learning and we also have ways of

Time: 3924.44

queuing each other so um you know humans

Time: 3927.52

use eye gaze to cue each other about

Time: 3930.079

what is signal and what is noise right

Time: 3931.72

so if you and I were sitting or let's

Time: 3933.279

say we were at a coffee shop and we were

Time: 3935.4

in a part of town that i' had never been

Time: 3936.96

to before and we were sitting having

Time: 3938.52

coffee and you know a loud siren went by

Time: 3942

if you turned and looked i' would

Time: 3944.079

probably turn and look because you just

Time: 3946.88

cued me that that was something I need

Time: 3948.16

to care about if you ignored it I'd

Time: 3950.92

probably ignore it because you just cued

Time: 3953.52

me that I I didn't need to worry about

Time: 3955.16

it I didn't need to care and we're

Time: 3957.2

constantly doing that with each other

Time: 3958.44

and we also do it with little babies and

Time: 3960.4

with kids and that's how we teach

Time: 3961.88

children this is signal this is noise

Time: 3964.079

this you need to worry about this you

Time: 3965.4

can ignore and so yeah your your

Time: 3967.64

description is perfect so what does this

Time: 3969.319

have to do any of this have to do with

Time: 3972.64

emotion in order to answer that part of

Time: 3975.079

the question I I I want to

Time: 3977.839

say so okay you've got these signals the

Time: 3980.599

brain is like has these electrical

Time: 3982.359

signals going on we'll just ignore the

Time: 3984.44

hormonal signals for the moment because

Time: 3986.68

that's complic you know one is

Time: 3987.88

complicated so it's got all these

Time: 3989.079

electrical signals going on it's when

Time: 3991.279

it's remembering something it's just

Time: 3992.88

basically reinstating a pattern of

Time: 3994.559

signals and it's got these signals

Time: 3996.72

coming in um from the sensory servfaces

Time: 3999.88

okay so what's so what is the brain

Time: 4002.119

doing it's a signal processor so what is

Time: 4004.319

it I don't mean a computer I mean a

Time: 4006

signal processor in the engineering

Time: 4007.48

sense so what's it what is it doing

Time: 4010.079

without getting into all the Dynamics

Time: 4012.4

of prediction and you know whatever what

Time: 4016.2

the brain is doing is it's um it's

Time: 4019.079

assembling a set of

Time: 4021.079

features it's some of the features that

Time: 4023.279

it's assembling are very close in detail

Time: 4027.2

to the sensory surfaces of the body so

Time: 4030.799

in primary visual cortex there's a

Time: 4033.279

retinotopic map the details there are

Time: 4036.079

very very low level like a line an edge

Time: 4038.799

you know same thing in primary auditory

Time: 4040.96

cortex right it's tonotopic so there are

Time: 4043.24

tones

Time: 4044.68

but it's very very very lowlevel details

Time: 4047.799

and we might there are many many many

Time: 4049.76

many of these little features so we

Time: 4051.24

would say there there's a it's a high

Time: 4052.92

dimensional array lots and lots and lots

Time: 4055.039

and lots of features and then and let's

Time: 4058.599

just talk about one structure just the

Time: 4060.799

cerebral cortex let's not worry about

Time: 4063.119

just but what I'm about to say is

Time: 4065.119

basically true of really the rest of the

Time: 4067.48

brain as well if you take the cortex off

Time: 4070.44

the surface uh the cortical sheet off

Time: 4073.319

the that wavy you know cortical sheet

Time: 4076.2

you take it off the rest of the brain

Time: 4078.119

the subcortical parts and you stretch it

Time: 4079.52

out like a napkin you can see there's a

Time: 4081.52

compression gradient there in the

Time: 4083.2

architecture of the neurons so at the

Time: 4086.2

primary sensory areas there are these

Time: 4088.039

tiny little paramal neurons that are

Time: 4090.92

representing these little these very

Time: 4092.4

low-level features and they feed into

Time: 4095.119

bigger neurons which feed into bigger

Time: 4096.799

neurons which feed into more bigger

Time: 4098.799

neurons so what's happening is you've

Time: 4100.6

got this very detailed array

Time: 4104.679

being compressed in its dimensionality

Time: 4107.159

until you get to the middle of the brain

Time: 4109.08

at the front where there are many fewer

Time: 4111.88

neurons but they're bigger and they have

Time: 4114.239

many more connections so it's a

Time: 4116.199

dimensionality reduction that's

Time: 4117.839

happening so just to make sure I

Time: 4120.08

understand um correctly and that the

Time: 4122.44

audience understands the physical world

Time: 4125.719

obviously is um transformed by our

Time: 4128.12

sensory apparati the retina the ca the

Time: 4131.44

the sensing neurons in our skin

Time: 4134.759

umal things mechan pressure phon sound

Time: 4138.48

waves okay that's translated into neural

Time: 4141.04

code which is chemical and electrical

Time: 4143.679

yeah and and those sensory inputs are

Time: 4146.96

are fairly vast and you call high

Time: 4149.44

dimension high dimensionality so lots of

Time: 4152.679

different orientations of lines lot even

Time: 4154.96

you know even though it originates with

Time: 4156.319

just three uh cone photop pigments lots

Time: 4158.48

of opportunity for encoding different

Time: 4160.12

shades of color contrast okay and all of

Time: 4162.759

that so you have lots of little neurons

Time: 4165

to represent all the possibilities of

Time: 4167.359

the physical world that are occurring MH

Time: 4170.4

but as that information is passed

Time: 4172.88

further up along EXC I have to be

Time: 4175.839

careful with the use of hierarchies

Time: 4177.279

because that's controversial nowadays

Time: 4178.839

not for political reasons but for

Time: 4181.04

accuracy reasons um as that information

Time: 4183.359

is passed along there's more um

Time: 4187.52

convergence onto a smaller number of

Time: 4190.52

larger neurons so these are neurons that

Time: 4192.679

have access to a lot of information but

Time: 4194.4

in coarser form right so there are low

Time: 4196.88

you know it's like like compressing an

Time: 4198.48

MP3 like how an MP3 compresses

Time: 4200.679

information for example so the cortex is

Time: 4203.199

representing

Time: 4204.36

features so and I represent I'm just

Time: 4207.44

using that in a generic way because

Time: 4209.159

that's also controversial about exactly

Time: 4210.92

how is the okay but yeah but it works

Time: 4213.48

but for now I'm using it just in a

Time: 4215.48

generic way so you go from lines and

Time: 4217.679

edges to a shape like a round shape to a

Time: 4222.32

face to a right so you're you're

Time: 4224.4

basically you're you're um you're going

Time: 4229.239

what's happening is there are

Time: 4231.52

summaries of summaries of summaries of

Time: 4234.12

summies I love that I hope everyone

Time: 4235.8

hears that because I've been in this

Time: 4237.84

field of Neuroscience a long time as you

Time: 4240.719

move along the neur axis from the

Time: 4243.239

sensory epithelium now it sounds very

Time: 4245.6

very Gomen clish but from the surface of

Time: 4248

the skin inward you're getting summaries

Time: 4250.76

yeah they send more and more summaries I

Time: 4253.36

think that's so important I that's a

Time: 4255.84

that's a like a gazillion dollar

Time: 4258.4

statement for understanding of the

Time: 4260.199

nervous system so but each of those

Time: 4263.56

points correspond to some mental feature

Time: 4266.48

like a line or an edge or a circle or a

Time: 4269.48

square or a face or right but but now

Time: 4273.719

then you when you when you're in the

Time: 4276.239

midline at the front what are those

Time: 4278.719

features well those features are things

Time: 4281.04

like they are they are multimodal

Time: 4284.159

summaries meaning they are summaries of

Time: 4286.239

the sights and sounds and smells and

Time: 4288.199

right but they and they are lower

Time: 4289.44

dimensional meaning they are they're

Time: 4291.88

coarser so there are things like threat

Time: 4296

reward

Time: 4297.52

pleasure I mean really abstract that's

Time: 4300.719

what abstract means it doesn't mean that

Time: 4303.32

those representations have no sensory or

Time: 4306.199

motor meaning it means that threat for

Time: 4310.04

example a

Time: 4311.96

summary can have many different patterns

Time: 4315.12

associated with it and the brain is

Time: 4317.8

treating them all as equivalent this

Time: 4321.159

this to me again feels so so important

Time: 4325.04

for people to understand because um as

Time: 4327.84

I'm hearing this and this word summaries

Time: 4329.56

is just ringing in my mind it's so

Time: 4330.96

important because one of the core

Time: 4334.36

components of my experience of my

Time: 4336.84

emotions because that's all I can really

Time: 4339

say for sure my

Time: 4341.48

subjective interpretation and labeling

Time: 4344.04

of my own emotions is that they are

Time: 4346.92

pretty broad bins like I described ear

Time: 4349.36

pretty broad bins and so that that's

Time: 4351

where I was exactly where I was going

Time: 4354.12

so what about the word anger where is

Time: 4358.08

that represented like well that's a

Time: 4360.6

that's a one of these multimodal

Time: 4362.28

abstractions in fact anger is just a

Time: 4365

couple of phones it's a couple of sounds

Time: 4367.36

but those sounds the sound of anger

Time: 4371.44

corresponds over thousands of instances

Time: 4375

that you've learned in your life to very

Time: 4377.8

different patterns of sensory motor

Time: 4380.76

features that's right because what's

Time: 4382.88

going on in your

Time: 4384.4

body during anger can vary what the way

Time: 4389.48

you move your face in Anger can vary

Time: 4392.04

depending on the situation what you see

Time: 4393.76

someone else doing in Anger can vary and

Time: 4397.76

so the word anger or any word is

Time: 4401.32

actually just a multi Al summary of many

Time: 4406.199

many many many instances which are in

Time: 4410.12

their sensory and motor features the

Time: 4412.199

sensory and motor meaning very different

Time: 4415.159

and and it seems to me are highly

Time: 4417.679

constrained by Developmental and

Time: 4420

cultural experience absolutely because

Time: 4422.679

just today I learned that there's a word

Time: 4424.44

in Japan for the feeling that one has of

Time: 4428.88

having gotten a haircut they don't like

Time: 4430.88

there's a word in Germany

Time: 4434.4

that pertains to the feeling of wanting

Time: 4436.6

to punch someone specifically because of

Time: 4438.679

the look on their face well really it's

Time: 4440.28

more like you like you they to you it

Time: 4442.28

feels like they're asking to be punched

Time: 4443.96

in the face even so you added yet more

Time: 4446.04

dimensionality to it so upon learning

Time: 4448.08

just those things just today there is

Time: 4451.679

additional dimensionality brought in

Time: 4453.44

such that if I were to ever um want to

Time: 4457.08

punch somebody in the face simply

Time: 4458.679

because of the look on their

Time: 4460.4

face that I wouldn't NE necessarily

Time: 4463.76

label that as anger alone it now has

Time: 4467.159

another dimension to it and so I I think

Time: 4469.32

I'm finally I think I'm finally starting

Time: 4472.12

to understand how the Developmental and

Time: 4475.04

the cultural influences plus the fact

Time: 4477.8

that language is a pretty crude

Time: 4479.92

descriptor for this neural process that

Time: 4482.239

you're describing oh absolutely

Time: 4483.96

absolutely but okay so but but before

Time: 4486.199

you use the word granularity and so I'm

Time: 4488.32

going to use that word too in fact I've

Time: 4490.08

you I've coined that phrase emotional

Time: 4492.28

granularity

Time: 4494.239

um just as an aside you know I coined

Time: 4498.8

that phrase almost 30 years ago and now

Time: 4501.44

people study it like it's a phenomenon

Time: 4503.44

which is cool in a sense but also I kind

Time: 4506.12

of want to keep reminding them like

Time: 4508.92

that's a word that refers to a process

Time: 4511.679

it's not a thing it's a process and the

Time: 4513.719

but the process

Time: 4514.96

is so when the brain is a category

Time: 4518.84

Constructor

Time: 4520.4

how fine grained are the categories how

Time: 4523.32

size of the categories right like if

Time: 4525.719

you're using if your feature of

Time: 4527.639

equivalence that your brain is using is

Time: 4530.08

threat you're in really big trouble

Time: 4533.239

because there are like a gazillion

Time: 4535.8

different sensory motor patterns that

Time: 4537.8

could go with threat so your category is

Time: 4540.8

going to be massive so how does the

Time: 4543.44

brain figure out which of those massive

Time: 4545.76

number of options is the one to use in

Time: 4549.44

this in in this instance if on the the

Time: 4553.32

other hand you don't just want to use

Time: 4555.48

sensory motor patterns as the features

Time: 4558.159

of equivalence or the features that

Time: 4559.56

you're using to say this instance right

Time: 4562.52

now is similar to these past instances

Time: 4564.36

if I had to search like right now what

Time: 4566.84

is similar to right now it would be me

Time: 4569.36

sitting across the table from somebody

Time: 4571.12

who has a beard and is um dressed in

Time: 4574

black and you know there there are a lot

Time: 4576.12

of details there that probably don't

Time: 4577.48

matter right so you you'd be searching

Time: 4579.92

for a specific match from the past

Time: 4581.88

that's not very efficient either so you

Time: 4584.4

need something in the

Time: 4586.76

middle and that that is to say you need

Time: 4590.12

to have C your brain has to be able to

Time: 4592.08

make categories that are more fine

Time: 4593.8

grained but not super fine grained but

Time: 4596.88

they have to be more fine grained than

Time: 4598.28

just threat yeah you want to keep the in

Time: 4601.199

the library analogy that I made earlier

Time: 4603.199

you want to keep the rest of the library

Time: 4605.32

accessible at some level yeah so you're

Time: 4607.159

not just staring at that one book but if

Time: 4609.4

you use the

Time: 4610.76

category bad this feels bad

Time: 4614.28

then your brain is

Time: 4617

basically um going to

Time: 4620.639

be partially constructing an entire Wing

Time: 4624.4

full of books like a entire Wing full of

Time: 4627.04

options if you use the word

Time: 4630.159

angry um then maybe it's a bookcase it's

Time: 4634.36

constructing a bookcase full of options

Time: 4636.8

and a category that's the size of a

Time: 4638.52

bookcase and if you were using the word

Time: 4641.48

frustrated then maybe it's a shelf the

Time: 4644.52

brain can learn to construct categories

Time: 4646.6

at different scales of gen

Time: 4648.84

generalizability so if I'm in an

Time: 4650.6

instance and um my brain is making a

Time: 4653.48

guess is it drawing from past instances

Time: 4656.92

that were associated with the word

Time: 4659.6

anger uh were associated with the word

Time: 4662.12

fear maybe it's some combination it's

Time: 4664.12

the words are just features they're just

Time: 4665.639

sounds there are also all sorts of other

Time: 4667.8

features like what was my heart doing

Time: 4669.719

what what what kind of motor actions did

Time: 4671.6

I make what did I see next so the point

Time: 4676.639

being what I'm trying to bring here is

Time: 4679.08

that it's not like your brain creates an

Time: 4682.84

emotional state and then labels it what

Time: 4685.88

your brain is doing is creating a

Time: 4688.159

category of possible futures of what's

Time: 4691.04

going to H what it's going to do next

Time: 4693.679

and that state is largely determined by

Time: 4699.08

the what the brain is remembering and

Time: 4703.12

it's drawing from that huge population

Time: 4705.719

that huge library of options which books

Time: 4709.76

is it sampling I love this so much

Time: 4712.679

because it explains so much that frankly

Time: 4716

has been perplexing to me and also

Time: 4718.44

somewhat troubling to me like for

Time: 4719.92

instance I um we hear about emotional

Time: 4722.28

intelligence you know and and sometimes

Time: 4724.12

I wonder whether or not um true

Time: 4725.8

emotional intelligence would be what you

Time: 4728.199

just described the understanding of how

Time: 4730.679

this process works so that you can work

Time: 4732.44

with it and I definitely want to talk

Time: 4734.32

about how one can work with this

Time: 4735.679

knowledge because I think it's

Time: 4736.84

incredibly powerful in its um

Time: 4739.199

explanatory power but also um it's

Time: 4741.56

actionable power um the other thing is

Time: 4744.36

that it's clear to me just based on my

Time: 4747.04

experience today of hearing these words

Time: 4748.52

from other cultures that relate to

Time: 4750.199

different emotional states that this

Time: 4751.8

system unlike a lot of systems in the

Time: 4753.8

brain I like to think is fairly plastic

Time: 4757.28

yeah like the moment that you know that

Time: 4760.12

there are additional Dimensions to

Time: 4762.199

sadness Etc there's something comforting

Time: 4765.36

about that what's really unsettling is

Time: 4768.239

the idea that we have such broad bends

Time: 4770.56

that we are we would Define you know a

Time: 4773.32

near infinite number of situations as

Time: 4775.199

just fear that would suck that's not a

Time: 4777.76

good existence and yet I have to ask

Time: 4781.08

whether or not you think that as a

Time: 4783.36

species not as a culture but our entire

Time: 4786.6

species whether or not we are taking the

Time: 4790.08

exact opposite approach that we're sort

Time: 4791.679

of moving into the Emoji

Time: 4793.639

isation is that a word I'll make it a

Time: 4795.52

word and people can assault me in the

Time: 4797.48

comments um the

Time: 4799.52

emojiz of this very rich and complex

Time: 4802.48

system we're starting to get into this

Time: 4804.04

mode of like I'm going to post an angry

Time: 4806.44

face and therefore like this is a bad

Time: 4808.48

I'm angry at you this is a bad

Time: 4809.8

interaction we're going to it's it's um

Time: 4811.56

combat potentially combative or and you

Time: 4813.719

know maybe um Twitter X or Instagram or

Time: 4816.639

other social media sites are kind of the

Time: 4818.56

the epitome of this where you reduce

Time: 4821.719

this High dimensional space in you you

Time: 4824.679

keep the the sensory stimulation very

Time: 4826.44

high it's movie after movie after movie

Time: 4828.28

and color and sound and people doing

Time: 4830.52

crazy parkour stuff and bears eating

Time: 4833

giraffes or whatever it is probably not

Time: 4834.84

bears eating giraffes but you know what

Time: 4836.4

I mean and you can see stuff that's

Time: 4837.679

sexual and violent and political and

Time: 4839.92

emotional and sweet and then the cats

Time: 4841.84

are kissing the monkey and you're like

Time: 4843.88

or the monkey's kissing the cat and so

Time: 4845.88

it's high dimensionality in terms of

Time: 4847.4

sensory space but then what do we call

Time: 4849.44

it we're like oh this is an emoji you

Time: 4852.76

ass sign an emoji you're heting

Time: 4854.199

something you're giving a thumbs up or a

Time: 4856.04

thumbs down so I almost feel like we

Time: 4857.84

we're trying to uh we we're regressing

Time: 4860.679

to a state where we're kind of like an

Time: 4862.199

infant trying to figure out like what

Time: 4863.4

the hell is going on and we're saying

Time: 4864.679

you know what you get like six

Time: 4866.04

categories of response when in reality

Time: 4869.48

um we should probably be expanding the

Time: 4871.56

number of different responses that we

Time: 4873.639

can have in order to accurately match

Time: 4875.44

the way that our nervous system actually

Time: 4877.44

works yes exactly there are many

Time: 4880.719

different things we could talk about

Time: 4882.44

with respect to the summary that you

Time: 4883.92

just gave which I I think is completely

Time: 4886.36

accurate so what I would say is that if

Time: 4889.4

you look through even just the last I

Time: 4892

don't know hundred or so years like the

Time: 4894.76

19th you know 19th 20th centuries maybe

Time: 4899.08

you can see that the complexity of the

Time: 4902.56

of people's

Time: 4904.76

responses expands and contracts right so

Time: 4908.04

for example this is something that I've

Time: 4910.08

written really speculatively about

Time: 4913.159

um but one of the things that I found

Time: 4917.4

really interesting um is that you know

Time: 4920.08

authoritarianism authoritarian thinking

Time: 4922.28

is the reduction of complexity to some

Time: 4925.08

things that are really really simple

Time: 4927.28

like you're getting rid of all the

Time: 4928.6

complexity to you know basically these

Time: 4932.08

very very coarse low dimensional

Time: 4937

judgments and Things become black and

Time: 4940.719

white um it's the avoid of

Time: 4943.96

complexity um so that there can be

Time: 4946.04

simple single answers to things and it

Time: 4950.36

happens in human culture at times and

Time: 4954.28

then then there's an expansion of

Time: 4956.639

complexity at times too so what predicts

Time: 4961.12

that like what is it in the human

Time: 4963.48

nervous system or our Collective human

Time: 4965.679

nervous you know like we're we're just a

Time: 4967.52

bunch of brains attached to bodies

Time: 4969.76

interacting with other brains and bodies

Time: 4971.639

right so like what is it that causes

Time: 4974

these um ripples of and and I have some

Time: 4977.76

thoughts about that that are really

Time: 4979.08

really really

Time: 4980.199

speculative um but I think the other

Time: 4983.679

thing that's that's really important is

Time: 4985.88

that we've talked about we'll go back to

Time: 4988.6

our our cortical sheet that we've and by

Time: 4990.6

the way this is just one compression

Time: 4992.04

gradient in the brain there are others

Time: 4993.639

too right um there are at least four

Time: 4996.199

others that I can think of um so this is

Time: 4999.04

just one but all compression gradients

Time: 5001.76

work the same way which is that now

Time: 5003.679

we've talked about going from the

Time: 5005.239

low-level details um compressing to

Time: 5008.239

these multimodal summaries these really

Time: 5010

like simple um features that are right

Time: 5013.8

but that

Time: 5015.04

compression is what Engineers would call

Time: 5019.199

lossy meaning you lose the

Time: 5022.76

information you lose the

Time: 5025.04

information so when you go from lines

Time: 5027.199

and edges to a face those neurons they

Time: 5030.6

just know the face they don't have they

Time: 5032.639

lose what they've thrown away the

Time: 5034.96

details they've thrown away those

Time: 5036.44

details are gone for those neurons that

Time: 5039.28

are representing a face they don't have

Time: 5040.6

access to that they don't have access to

Time: 5042.199

it you know so we said well the brain is

Time: 5044.159

making a guess it's making a guess about

Time: 5046.96

what these what this big very very

Time: 5049.88

high-dimensional you know soup of

Time: 5052

signals in the world and in the body

Time: 5054.32

like what do they mean

Time: 5056.12

right when the brain makes a guess it

Time: 5058.52

starts with the compressed low

Time: 5061.199

dimensional sign it starts with the

Time: 5063.679

features like anger or like threat or it

Time: 5068.4

starts with these summaries and then it

Time: 5071.84

has to infer or guess at every synapse

Time: 5077.08

there's a guess that's being made about

Time: 5080.32

what the details are at the next level

Time: 5082.36

because what's happening is the guess is

Time: 5085.08

basically the brain going from these

Time: 5086.52

really General things to these very

Time: 5088.719

specific sensory motor patterns it

Time: 5091.48

happens along the cortical sheet it

Time: 5093.36

happens also down the Nur axis down the

Time: 5096

ner you know from the cortex to the

Time: 5099

midbrain to the brain stem to the spinal

Time: 5100.8

cord you have to go from a

Time: 5102.8

representation of you know run to the

Time: 5106.639

actual physical movements of muscles

Time: 5110.84

spindles and you know angles of joints

Time: 5114.239

and things like that so what you're

Time: 5115.92

doing is you're going in the other

Time: 5117.52

direction you're adding detail you're

Time: 5119.56

particularizing and the brain is

Time: 5121.28

guessing it's guessing well if it's

Time: 5124.56

using anger as the general feature well

Time: 5128.44

which which instance of anger is it and

Time: 5130.76

what are the specifics that are going to

Time: 5134.96

happen and and what are the WT and

Time: 5137.8

forgive me but and what are the Adaptive

Time: 5141.199

steps that I might take or not take

Time: 5143.56

because um I'm quoting a lot today so

Time: 5146.4

forgive me but in the words of the great

Time: 5148.8

sharington Nobel prize winning

Time: 5150.639

physiologist the final common pathway is

Time: 5153.4

movement is movement and that's and and

Time: 5155.08

movement is nuanced right humans I I

Time: 5157.639

suppose have among the greatest variety

Time: 5159.679

of different speeds and types of

Time: 5161

movement I think about parkour or

Time: 5162.52

gymnastics think about then what like a

Time: 5165.56

a cheetah can do cheetah are impressive

Time: 5167.8

a gymnist is truly impressive in terms

Time: 5170.08

of the range of movements and speeds Etc

Time: 5172.119

in any event the ultimate choice of the

Time: 5175.76

nervous system has to make is whether or

Time: 5177.08

not to

Time: 5177.92

move which direction how fast or stay

Time: 5181.32

still move move back and and I just I'll

Time: 5183.84

just add because I'm I'm hoping that

Time: 5185.36

you'll expand on this um it's been said

Time: 5188.76

before that ultimately the nervous

Time: 5191.08

system is trying to make decisions about

Time: 5193

yum yuck or me like like am I going to

Time: 5196.04

move towards something am I going to

Time: 5197.52

move away from it or am I just going to

Time: 5199.04

stay put well that's only that's only at

Time: 5201.44

the that that's a very I would say that

Time: 5203.679

those are very low dimensional features

Time: 5206

those are those compressed features but

Time: 5207.92

that's not the only thing the brain has

Time: 5209.4

to decide that's just a misnomer well

Time: 5212.08

good that I can get out of this little

Time: 5213.8

pickle that I just put myself in by

Time: 5215.119

saying that I didn't say that now I

Time: 5216.96

won't quote who did because he's a very

Time: 5218.4

famous neuroscientist but he tried to

Time: 5220.159

reduce it all he's at Caltech it um he's

Time: 5222.8

not somebody who studies emotion he

Time: 5224.239

studies the visual system but he said

Time: 5225.84

that you know that that there's a that

Time: 5227.719

the the neural circuits maybe it's

Time: 5229.36

because he studies mice are are

Time: 5230.92

essentially bended into um yum yuck and

Time: 5233.679

meh outputs and and i' I've always liked

Time: 5236.92

it on the one hand cuz threes work and

Time: 5238.679

it's simple but rarely is the way that

Time: 5240.76

we describe things the way it actually

Time: 5241.88

works so we would you know in in

Time: 5243.8

studying humans we would say well that's

Time: 5245.92

affect affect that's mood or you know

Time: 5248.6

it's just like is it is it um should I

Time: 5250.6

move towards it is it Pleasant should I

Time: 5252.679

move away from it is it unpleasant or

Time: 5254.96

you know is it irrelevant basically I

Time: 5256.679

don't care okay think about when you're

Time: 5258.84

feeling horrible you just feel you feel

Time: 5260.96

you just feel you feel bad what do you

Time: 5264.56

do you don't know what you don't know

Time: 5266.679

because you don't have a plan of action

Time: 5268.6

and that's ultimately that is what those

Time: 5272.159

those compressed like summary features

Time: 5274.239

those very low coarse features they have

Time: 5277.719

to be decompressed into details

Time: 5280.639

otherwise you don't know what to do so

Time: 5283.84

ultimately what the brain is doing is

Time: 5285.96

it's sampling from the

Time: 5288.08

past based

Time: 5290

on similarity to the present to plan an

Time: 5293.92

action and when I say action I don't

Time: 5295.719

just mean skeletal motor action like

Time: 5297.679

moving a limb it you the first actions

Time: 5300.679

that are planned are the actions of

Time: 5302.76

coordinating the heart and the lungs and

Time: 5305.48

you know all of the internal actions

Time: 5308.36

that are required to support the motor

Time: 5311.44

the skeletal motor movements so your

Time: 5313.719

brain is making uh is categorizing and

Time: 5316.36

it's making a it's it's creating a

Time: 5318.159

category and it's there are options

Time: 5319.92

there those options the motor plans

Time: 5322.639

begin with should the heart beat faster

Time: 5325.88

should it beat slower does blood

Time: 5327.52

pressure need to go up should the you

Time: 5329.719

know should the blood vessels constrict

Time: 5331.639

or should they dilate um should the

Time: 5334.239

breathing be deeper or more shallow I

Time: 5336.88

mean those are the first plans that get

Time: 5339.639

made and then milliseconds later there

Time: 5342.04

are the skeletal motor plans and then

Time: 5344.76

your experience of the world derives

Time: 5347.96

from those motor plants those viscero

Time: 5351.239

motor that is the plans for the viscera

Time: 5353.239

for the internal organs and the skeletal

Time: 5355.36

motor so I'm just going to refer to them

Time: 5356.48

as motor those motor plans actually give

Time: 5359.6

rise to your experience of the world

Time: 5361.56

there's not some state that exists as an

Time: 5364.36

emotional state which then you apply a

Time: 5366.199

label to the

Time: 5368.08

label is a just a set of

Time: 5371.96

features that are useful for

Time: 5376.08

generalizing from the past to the

Time: 5378.36

present and the bin size or the the you

Time: 5383.159

know of of what a word refers to can

Time: 5387.159

change it can change it's different for

Time: 5389.639

different people and it can change in

Time: 5392

your lifetime and you can add new Bins

Time: 5395.48

that is you can so for example there's a

Time: 5397.679

there's a concept gusin look which I

Time: 5399.88

probably just butchered so if you speak

Time: 5401.56

Turkish I'm sorry but it's like um it

Time: 5404.76

has features of it of like loss and um

Time: 5408.76

like people blocking your goals so we

Time: 5411.76

would say it's anger and sadness

Time: 5413.8

together that's gusin look when you lose

Time: 5416.199

something and you're pissed off about it

Time: 5419.48

um that's a but that's a category on its

Time: 5422.36

own right it's just a different way of

Time: 5423.96

parsing that that that really detailed

Time: 5426.76

soup and the more words you know the

Time: 5431.4

more words are just useful

Time: 5434.52

for pointing to a set of features that

Time: 5437.159

are similar to each other so what I mean

Time: 5439.36

by that is if I say to you Andrew I had

Time: 5441.96

pizza last night for dinner pizza two

Time: 5446.08

sounds two

Time: 5447.96

syllables that those two syllables s

Time: 5450.56

they stand in for like 50 different

Time: 5452.679

sensory and motor

Time: 5454.76

features because I don't have to say to

Time: 5456.92

you I had a food I didn't have pizza L

Time: 5459.84

thing but let's say I did I had a food

Time: 5462.56

that was round and flat and had sauce

Time: 5465.36

and also cheese and it it had mozzarella

Time: 5468

cheese and also a little parmesan cheese

Time: 5470.239

and it had mushrooms on it and a little

Time: 5472.199

bit of uh Olive and you know um that's

Time: 5475.92

like really really uh detailed and

Time: 5479.08

complicated but instead I can just say I

Time: 5481.199

had pizza two features two sounds two

Time: 5484.08

syllables

Time: 5485.44

phones and with those two

Time: 5487.88

phones I have just communicated to you

Time: 5490.639

in your brain my brain had 50 features

Time: 5493.199

it was representing of details and now I

Time: 5495.56

have just communicated those to you or

Time: 5498.52

some number of them with two sounds very

Time: 5503.159

efficient now of course you might think

Time: 5506.52

that I was from Chicago and had deep

Time: 5509.199

dish pizza and I'll just resist I don't

Time: 5511.719

I don't want to like offend anybody from

Time: 5513.44

Chicago it's not pizza that's not real

Time: 5515.48

pizza that's not real Pizza um right so

Time: 5519.92

you could then ask me uh was it but

Time: 5523.08

you're from Chicago is that deep dish

Time: 5524.8

pizza and then I would say no no I'm

Time: 5526.639

actually from Toronto which is just like

Time: 5528.44

New York and so no it was thin crust

Time: 5530.119

pizza which is really the only kind of

Time: 5531.679

pizza there is just saying but you know

Time: 5535.199

but my point is that words are just

Time: 5538.239

stand in for they're just low these low

Time: 5542.08

dimensional features these these s of

Time: 5544.36

gross features that stand in for many

Time: 5546.76

many many many little detailed features

Time: 5549

and that's how we communicate with each

Time: 5550.4

other and and we are constrained by you

Time: 5553.159

know what we know and our yes so and

Time: 5555.639

what we can say and the extent of our

Time: 5557.76

vocabulary and I'll just say that little

Time: 5559.92

babies three months old they don't speak

Time: 5563.92

yet and they don't understand language

Time: 5566.08

but they can use words to learn abstract

Time: 5570.28

categories so abstract just means that

Time: 5573.639

the the word refers to many different

Time: 5575.76

patterns of sensory motor features so

Time: 5577.679

the word is um or the category the

Time: 5581.44

things that make the instances similar

Time: 5584.8

um are a function um or goal not like

Time: 5588.84

the sensory motor features so you say to

Time: 5590.4

a

Time: 5591.239

baby very explicitly like because if

Time: 5593.92

we're talking about three four-month-old

Time: 5595.28

babies right babies can also do this

Time: 5598.52

implicitly too um but in experim exp you

Time: 5602.08

say to a baby look

Time: 5604.04

sweetie this is a bling and you put the

Time: 5607.44

bling down and it makes a beeping noise

Time: 5611.36

and then you say now this looks

Time: 5614.119

different feels different right smells

Time: 5617.199

different look sweetie this is a

Time: 5622.56

bling it

Time: 5624.36

beeps now you take something

Time: 5628

else which also is different and you say

Time: 5631.08

look sweet this is a

Time: 5632.639

bling now the baby expects this to beep

Time: 5636.88

by the way folks just listening Lisa

Time: 5638.8

just gave three examples first with a

Time: 5640.8

pen then a coffee mug and then her very

Time: 5644.159

own watch uh three very distinct objects

Time: 5646.679

but all of which make uh that are told

Time: 5649.239

uh the baby is told make uh a bling

Time: 5651.84

sound and they will bend those three

Time: 5655

yeah visual distinct objects

Time: 5657.119

functionally distinct objects into one

Time: 5659.08

single bin because they make a because

Time: 5661.36

they are sharing a function which is to

Time: 5663.56

beep I think this is so so important and

Time: 5667

I um and if I may I I I want to ask

Time: 5672.6

whether or not we can take this

Time: 5676.56

incredible understanding of emotions

Time: 5680.239

because that's really what we're talking

Time: 5681.36

about well we're really talking about

Time: 5682.639

how the brain my my version of how the

Time: 5684.48

brain works and how emotions emerge out

Time: 5686.6

of this system basically and and

Time: 5689.96

absolutely um you described it far

Time: 5692.48

better than I could and and and anchor

Time: 5695.32

that to this concept of movement like

Time: 5697.639

the movement is the final common path

Time: 5700.639

with the understanding that the movement

Time: 5702.8

system and forgive me but that we have

Time: 5704.639

systems in the brain and body that allow

Time: 5706.119

us to move that's for sure systems

Time: 5709.04

plural that they run in both directions

Time: 5711.56

in other words how we feel what we

Time: 5715.199

feel our emotions has some bearing on

Time: 5719.08

the movements that are more or less

Time: 5720.48

likely for us in a given context and our

Time: 5723.679

movements clearly can also influence the

Time: 5726.6

way that we feel internally well it's

Time: 5728.6

well I mean so if um if we just look at

Time: 5731.36

how things are happening here's here's

Time: 5733.52

what the anatomy tells us that when the

Time: 5735.679

brain makes a guess that guess starts as

Time: 5738.639

a motor plan starts as a visceral motor

Time: 5741.8

plan and a skeletal motor plan so heart

Time: 5743.92

rate changes breathing changes blood

Time: 5746.119

pressure changes and potentially

Time: 5748.28

skeletal muscle movement right and

Time: 5750.44

literal copy

Time: 5752.639

literal copies efferent copies of those

Time: 5755.56

signals are sent to they propagate to

Time: 5757.96

the sensory areas telling the brain

Time: 5760.76

telling those neurons this is the last

Time: 5763.159

time we made this in this context when

Time: 5765.52

this other stuff just happened the like

Time: 5768.08

this temporal context right the and we

Time: 5771.8

made these movements here is what we saw

Time: 5773.88

next here is what we felt next here's

Time: 5776.639

what we smelled next so yeah I think of

Time: 5780.48

this so the image that Pops in my mind

Time: 5781.88

and we should explain to people what

Time: 5782.88

efference copy is um in neuroscience and

Time: 5785.679

neuro Anatomy uh the connection to a

Time: 5788.119

structure is called an aarant with an A

Time: 5790.48

and the connections out from a structure

Time: 5792.159

are called the eer but the way I was say

Time: 5794.119

it doesn't even matter it's just

Time: 5795.199

basically the point here is that in our

Time: 5798.28

experience in our in the way the brain

Time: 5800.56

your brain conjures an experience okay

Time: 5802.56

and and that experience is that you feel

Time: 5804.92

something first you see something you

Time: 5808

feel something you act that's not what's

Time: 5810.639

happening what's happening is your brain

Time: 5812.88

is preparing the action first and the

Time: 5815.92

feeling what and your experience comes

Time: 5818.84

from that action preparation so it's a

Time: 5822.28

copy it's like literally you have axons

Time: 5824.48

that are sending motor signals down the

Time: 5827.679

the you know brain stem to the spinal

Time: 5829.76

cord and literal copies of those axons

Time: 5833.119

like those axons have branches that

Time: 5835.48

collateral branches that just send axons

Time: 5838.719

other places the same signal that is

Time: 5842.92

being sent to your spinal cord to move

Time: 5846.36

stuff in your body that same signal is

Time: 5849.6

being sent to other neurons in the brain

Time: 5853.04

as predictions of the sensations that

Time: 5855.4

are going to happen in a second from now

Time: 5857.239

a moment from now probably faster than a

Time: 5859.04

second but you know in a couple

Time: 5861.679

milliseconds if you move and so yes it

Time: 5865.84

is the case that what you feel is linked

Time: 5867.88

to what you do and what you do is linked

Time: 5870.36

to what you feel but not in this simple

Time: 5873.199

mechanistic way that that

Time: 5874.92

neuroscientists and psychologists have

Time: 5876.76

been using

Time: 5878.48

forever you it's not like you are you

Time: 5883.08

are you you're probed by a stimulus you

Time: 5886.32

you see something you hear something and

Time: 5888.52

then you process it and evaluate it and

Time: 5890.719

then you react to it no that's not

Time: 5892.76

what's happening what's actually

Time: 5894.199

happening under the hood is that based

Time: 5896.56

on how things are right now your brain

Time: 5898.44

makes a guess or some guesses and those

Time: 5901.32

guesses start as motor

Time: 5903.239

plans and the consequence of those motor

Time: 5906.8

plans are predicted Sensations and then

Time: 5910.52

of course sensory signals are coming

Time: 5913.28

from the sensory surfaces and they s and

Time: 5915.88

here's the really here's to me the

Time: 5917.48

really the most mind-boggling thing

Time: 5919.32

about this whole

Time: 5921.76

explanation if your Sensory neurons in

Time: 5925.639

your sensory areas are already so

Time: 5927.76

they're firing the the the the action

Time: 5929.88

potentials the spiking has changed based

Time: 5932.119

on these prepared motor movements these

Time: 5934.599

are sensory

Time: 5935.679

predictions and you know when I give

Time: 5937.44

talks and on my website I have some cool

Time: 5939.28

examples of of how this works you can

Time: 5941.52

experience it yourself you you know

Time: 5944.239

start to experience uh you know you hear

Time: 5946.52

things that aren't there you you feel

Time: 5948.239

vibrations in your chest that aren't

Time: 5949.719

there because your brain is predicting

Time: 5951.04

it's predicting these

Time: 5952.84

Sensations so let's say the sensations

Time: 5955.199

come the the sensory signals I should

Time: 5957.119

say let me so the sensory signals from

Time: 5959.92

the sensory surfaces of the body make it

Time: 5961.679

to the

Time: 5962.56

brain if you have if your neurons are

Time: 5966.719

already firing in a way to anticipate

Time: 5969.56

those signals those signals just confirm

Time: 5973.199

the firing and then they're done they

Time: 5975

don't make it any further into the

Time: 5977.36

brain so when you're predicting

Time: 5982.679

well your experience is constructed

Time: 5985.4

completely by your brain the signals

Time: 5988.56

from the sensory surfaces are there just

Time: 5990.48

to confirm irm

Time: 5993.239

or to change the signals so if there's

Time: 5996.679

things you didn't

Time: 5998.4

anticipate then those um errors of

Time: 6002.28

prediction those are the signals that

Time: 6004.119

are propagated and become compressed and

Time: 6006.08

stuff and we have a special name for

Time: 6008.44

that in science we call it learning you

Time: 6012.08

know Andy Clark is a philosopher who

Time: 6014.56

writes a lot about prediction predicting

Time: 6017.159

brain and and so on and he talks about

Time: 6019.88

normal uh everyday experience as being a

Time: 6023.32

controlled

Time: 6024.599

hallucination I think that's true yeah I

Time: 6027.84

subscribe to that um it's a fairly

Time: 6030.92

adaptive in most circumstances

Time: 6033.36

controlled hallucination but but it has

Time: 6035.28

its limitations and it I mean what we

Time: 6037.159

were talking about um if I could be a

Time: 6040.239

somewhat of a summary neuron you can

Time: 6041.8

tell me if my summary is too coarse um

Time: 6044.28

is that first of all that the neural

Time: 6046.4

systems and the Brain let's just call it

Time: 6048.119

the nervous system because we're talking

Time: 6049.239

about brain and body are incredibly

Time: 6052.8

Dynamic there's a bunch of inputs those

Time: 6055.92

inputs gets are incredibly elaborate

Time: 6057.96

they get summarized the summary prepares

Time: 6060.44

the body for a certain action that's a

Time: 6062.159

motor commands preo commands and then

Time: 6064.719

some action may or may not be taken but

Time: 6068.159

already as soon as an action is taken or

Time: 6070.84

not taken the whole state of the neural

Time: 6073.119

system is different it's changed as a

Time: 6074.96

consequence of just of what just

Time: 6076.28

happened now of course when people hear

Time: 6078.44

that and when I hear that indeed I I

Time: 6080.56

feel like wow it's a tough system to

Time: 6082.32

study because these are dynamical neural

Time: 6084.36

systems and and we have the technology

Time: 6087.48

to put people in functional scanners and

Time: 6090.04

look at what lights up so to speak we

Time: 6093

have the capacity to ask people how they

Time: 6095.639

feel based on questionnaires but you can

Time: 6097.199

imagine that's incredibly crude so then

Time: 6099.48

you give them liyer scales of you know

Time: 6101.239

rate from 1 to 10 how happy or sad you

Time: 6103.679

are and so you're adding some some depth

Time: 6106.44

and dimensionality to it but it's

Time: 6107.84

incredibly crude it's nothing like real

Time: 6109.84

experience and if somebody's more verbal

Time: 6113.32

less verbal maybe they somaticize more

Time: 6115.92

or less I mean an example comes to mind

Time: 6118.84

that you know occasionally you learn

Time: 6120.159

from social media which often I learn

Time: 6122.679

from social media and someone once said

Time: 6124.199

I don't think in thoughts I think in

Time: 6126.04

feels and I thought okay great you're

Time: 6128.44

probably also from Northern California

Time: 6129.88

and I said wait Andrew stop being so

Time: 6131.76

judgmental what do you mean and I asked

Time: 6133.36

and they said I experience emotions in

Time: 6136.36

their mind first as a as a bodily State

Time: 6140.04

then the label comes much later that's

Time: 6143.119

not how it works for me it feels fairly

Time: 6145.36

more integrated brain and body for me

Time: 6148.04

but other people started chiming in no I

Time: 6150.76

think of emotion I experience emotions

Time: 6153

clearly as a verbal label it's all in

Time: 6156

their head and so you start to realize

Time: 6157.84

that we might all be encoding The World

Time: 6160.28

Slightly differently or very differently

Time: 6162.76

and it's changing in time so then the

Time: 6164.36

question becomes you know how what are

Time: 6166.679

the anchor points in terms of our

Time: 6168.92

understanding of emotions that we can

Time: 6171.119

work with and and and the following

Time: 6173.88

questions come to mind um neither you

Time: 6176.4

nor I are clinicians as far as I know

Time: 6178.92

I'm certainly not I was actually trained

Time: 6180.4

as a clinician oh there you go I'm wrong

Time: 6182.119

again but I haven't no no no but I mean

Time: 6183.84

I haven't I haven't practiced in like

Time: 6185.88

really gazillions of years okay well

Time: 6188.08

you're you're well you're more than

Time: 6189.52

qualified to answer the question I'm

Time: 6190.84

about to ask which is to me there is a

Time: 6194.36

great conflict of information in the

Time: 6198.56

psychology Psychiatry and let's just

Time: 6200.84

call it wellness and mental health space

Time: 6203

which is when we are feeling lousy like

Time: 6206.56

not good let's put veilance on it just

Time: 6208.239

lousy I don't want in a state that we

Time: 6210.48

we're having an emotion that we don't

Time: 6211.88

want to

Time: 6213

have there's an entire category of

Time: 6215.679

information that says you need to feel

Time: 6217.84

your feelings you need to feel your

Time: 6219.92

feelings you need to acknowledge that

Time: 6221.28

they're there you need to go into the

Time: 6223.119

feeling maybe even full catharsis you

Time: 6225.52

need to amplify the feelings until they

Time: 6227.76

quote unquote leave your body after all

Time: 6230.159

Steve Job was into scream therapy and

Time: 6232.76

helped himun his anger who knows you get

Time: 6235.56

these examples he's probably the worst

Time: 6237.639

example because it seemed like he was

Time: 6238.84

angry a lot from what I hear but then

Time: 6241.679

there's another category of thought

Time: 6243.4

which is no you need to use your ability

Time: 6246.88

to top down control inhibition of the

Time: 6250.32

cortex on Lower structures again I'm

Time: 6252.36

deliberately using crude language here

Time: 6254.639

to say wait you know this is an emotion

Time: 6257.239

emotions pass this is not real this is

Time: 6260.84

just a limited set of uh High

Time: 6262.56

dimensionality stuff that's been

Time: 6264.04

summarized and you know what like I

Time: 6266.719

don't need to feel this way I can make

Time: 6268.8

myself feel differently maybe I'll go

Time: 6270.44

for a run in fact I always feel better

Time: 6271.96

after I go for a run so even this

Time: 6274.76

question as simple as should we feel our

Time: 6276.8

our

Time: 6277.76

feelings or should we not feel our

Time: 6280.44

feelings and of course you would hope

Time: 6282.679

that this would be answered

Time: 6284.32

appropriately such that people don't go

Time: 6286.239

harm other people or themselves but but

Time: 6288.44

but assuming that they're not going to

Time: 6289.52

harm other people eles verbally or

Time: 6291.44

physically then you really get yourself

Time: 6293.679

into a bit of a pickle like we don't

Time: 6296.32

understand what to do with

Time: 6298.199

emotions ours or other people's because

Time: 6301.32

clearly we don't understand emotions per

Time: 6304.96

se so I would say I'm going to answer

Time: 6309.159

your question and then I want to also

Time: 6312.599

pick it the word the I want to pick it

Time: 6314.96

an

Time: 6315.8

assumption um because it it's come up

Time: 6317.96

actually a couple of times and there's

Time: 6319.88

something super important in your

Time: 6321.76

descriptions that I just want to pull

Time: 6324.36

out for for the listeners because I

Time: 6326.159

think it's really important and you're

Time: 6327.599

doing it very naturally but I think some

Time: 6330.119

people it would be it just Bears

Time: 6331.84

commenting on so let me just deal with

Time: 6333.88

the question of should we feel our

Time: 6335.159

feelings or use our words you know we

Time: 6337.52

say to little kids use your words like

Time: 6338.88

don't throw a tantrum right um but then

Time: 6341.08

there was also this other feeling oh

Time: 6342.599

just feel it's important to feel and you

Time: 6344.199

don't want to get it have it be pent up

Time: 6345.92

and you or use your body and like and

Time: 6347.76

like hit a pillow I mean there's scream

Time: 6349.52

therapy bite the pillow SC pill tear the

Time: 6351.84

pillow's you can p $5,000 for a week

Time: 6354.56

ofing this and they'll tell you you're

Time: 6356.239

going to feel better at the end so the

Time: 6358.36

answer there is it's the wrong question

Time: 6361.04

like flexibility is important for

Time: 6365.199

everything always right so um first of

Time: 6368.44

all you don't have you don't have

Time: 6369.76

emotions in your body your body doesn't

Time: 6372.52

keep the score you know yeah great book

Time: 6375.32

title because it's super catchy but with

Time: 6377.36

all due respect to I think the important

Time: 6379.52

work of Vander I think it oversimplified

Time: 6385.08

and led people to believe that their

Time: 6387.119

back pain was

Time: 6388.48

trauma and that all trauma is somatized

Time: 6392

and it's not no it's not but I I would

Time: 6393.8

go further and say like first of all

Time: 6395.88

your body does keep the score your brain

Time: 6398.04

keeps the score your body is the

Time: 6401.36

scorecard that's super important and he

Time: 6404.56

has done really important work but his

Time: 6407.08

explanations for why things work is

Time: 6409.96

scientific ific Al

Time: 6411.679

incorrect it just is because we don't

Time: 6415.36

feel things in our bodies we everything

Time: 6417.88

we feel we feel in our brains we don't

Time: 6420.44

see in our eyes we see in our brains of

Time: 6423.04

course we need our eyes but we don't see

Time: 6425.8

in our eyes just like if you you know

Time: 6428.48

pinch your your hand with you know take

Time: 6431.08

skin and pinch between you know two two

Time: 6433.48

fingers the skin you don't feel that

Time: 6436

actually in your hand you feel it in

Time: 6437.76

your brain that's the magic of the brain

Time: 6440.84

in a sense so what I would say is it

Time: 6446.32

um uh it depends on the situation and

Time: 6450.36

what your goal

Time: 6451.8

is um sometimes it is useful to use your

Time: 6455.4

words and sometimes it is useful to go

Time: 6457.239

for a

Time: 6458.76

run it just depends on what your goal is

Time: 6462.04

well in both those cases you're you're

Time: 6463.96

uh that you gave both those examples

Time: 6466.08

excuse me you're um it's a way of

Time: 6468.52

Shifting off the emotion I guess what

Time: 6470.52

I'm asking is well sometimes you don't

Time: 6472.679

want to shift off the emotion sometimes

Time: 6474.599

the mo sometimes the wisest thing to do

Time: 6476.56

is live in the emotion that is you know

Time: 6480.52

sometimes uh

Time: 6482.08

discomfort sometimes when something

Time: 6484.08

feels bad it doesn't mean something is

Time: 6485.599

wrong it just might mean that you're

Time: 6487

doing something hard well earlier I

Time: 6488.88

wrote when you talking about the the

Time: 6490.239

broad categorization of emotions I I

Time: 6492.239

wrote down you know simple as good when

Time: 6493.639

it feels good you're like I just feel

Time: 6495.599

really great but then when things feel

Time: 6497.4

lousy that's where Nuance could be

Time: 6499.28

beneficial yeah AB absolutely because

Time: 6501.48

we're because emotions are recipes for

Time: 6503.8

Action when you go from be feeling bad

Time: 6507.32

to feeling angery or sad it's a recipe

Time: 6510.28

for action and I would also say and this

Time: 6512.92

just this is an analogy but I I sort of

Time: 6515.84

I stand by it um you know uh when I was

Time: 6520.28

um I had major back surgery a couple

Time: 6523

years ago and I know something about

Time: 6525.719

chronic pain it's not my area of study

Time: 6527.88

but I know something about it because

Time: 6529.119

I've I've and reanalyze some some data

Time: 6531.599

sets and I've read a lot so I'm not an

Time: 6533.639

expert but you know I have ideas and I

Time: 6536.44

thought to myself well I just I don't

Time: 6538.639

want to end up with chronic back pain so

Time: 6540.96

what I did was I made sure after I got

Time: 6543.719

through the first couple of weeks where

Time: 6545.32

I really needed oxycodone so that I

Time: 6547.28

could walk you know I was up and walking

Time: 6548.88

the same day I had surgery if you could

Time: 6551.159

call it walking it sort of a euphemism

Time: 6552.8

for like hobbling around on a with a

Time: 6554.679

walker but um I made sure that I felt

Time: 6557.48

the

Time: 6558.32

pain that is I dosed myself with

Time: 6562.4

discomfort quite deliberately because I

Time: 6565.4

wanted to make sure that I'm I'm I'm

Time: 6568.52

sorry for using you know cartisian

Time: 6570.199

language I don't know how else to say

Time: 6571.639

this I I wanted my brain to be taking in

Time: 6574.639

the prediction error I wanted my brain

Time: 6577.199

to to feel the to to I wanted to focus

Time: 6582.639

attention on the changing dis you know s

Time: 6586.679

the the changing discomfort over time

Time: 6589.679

because it meant that my body was

Time: 6591.599

healing as the discomfort got less but

Time: 6593.56

my brain would never feel that

Time: 6595.48

discomfort changing if I uh took

Time: 6600.599

painkillers

Time: 6602.239

and because the prediction error the

Time: 6605.44

things that the brain doesn't predict

Time: 6607.88

are teaching signals and I think it's

Time: 6610.36

true also in your life like sometimes

Time: 6612.76

you want to feel it because you you want

Time: 6615.84

to feel the discomfort because it's

Time: 6617.119

instructive about something and

Time: 6619

sometimes it's not and that's maybe

Time: 6621.199

that's not really an answer but the only

Time: 6623.119

way that you can figure that out for

Time: 6624.48

yourself is to do it sometimes if you're

Time: 6626.639

always getting rid of discomfort you

Time: 6628.88

never know when it's useful and it is

Time: 6631

useful sometimes but now I want to get

Time: 6633.599

to this point that I was making before

Time: 6635.76

like we are talking about feeling and

Time: 6637.76

emotion interchange like they're

Time: 6639.679

interchangeable and they're not right so

Time: 6643.44

here's how I would say it your brain is

Time: 6645.76

always regulating your body

Time: 6649.04

247 and your body is always sending

Time: 6652.599

sensory signals back to the brain about

Time: 6655.28

the sensory state of the

Time: 6657.679

body and our nervous systems aren't

Time: 6660.239

wired for us to experience those sensory

Time: 6664.079

changes that are happening in the body

Time: 6667.239

in any degree of

Time: 6669.119

detail we're just not and it's a good

Time: 6672.92

thing like right now as we talk here our

Time: 6676.04

hearts are beating and our you know pain

Time: 6680.04

pancreas is squishing stuff out you know

Time: 6683.079

liver is you know filtering and like you

Time: 6686.96

know oxygen concentrations are changing

Time: 6689.28

like a there's a whole drama going on

Time: 6691.239

inside each of us and our listeners and

Time: 6694.119

we're largely not aware and I hope our

Time: 6696.52

listeners aren't aware because if they

Time: 6697.92

were they would not be listening to

Time: 6699.119

anything we were saying they'd be

Time: 6700.48

completely you know in enraptured or or

Time: 6704.52

in discomfort at what's going on inside

Time: 6707.8

them instead the brain creates a

Time: 6710.8

low-dimensional summary this gross kind

Time: 6713.4

of like barometer which is feeling

Time: 6716.88

affective feeling we call it or you

Time: 6718.599

could call it mood but scientists call

Time: 6720.04

it affect with an A Feeling Pleasant

Time: 6722.4

feeling unpleasant feeling worked up

Time: 6724.159

feeling calm feeling comfortable feeling

Time: 6726.4

uncomfortable it's kind of a general

Time: 6729.719

barometer of the state of the body and

Time: 6733.079

it's not emotion that those feelings

Time: 6736.239

those features of feeling are features

Time: 6738.719

of consciousness because your brain is

Time: 6741

always regulating your body your body's

Time: 6742.92

always sending signals back to the brain

Time: 6744.8

the brain is always representing them in

Time: 6747.04

this low-dimensional way whether you're

Time: 6749.159

paying attention or not like whether the

Time: 6750.96

brain is focusing it's you know applying

Time: 6753.36

attention to those neurons or not the

Time: 6756.28

those signals are

Time: 6757.92

there and even when we're not

Time: 6760.8

emotional you know like if you're

Time: 6763.28

driving on the highway and somebody cuts

Time: 6764.76

you off and you think what an

Time: 6767.84

the assholeness of that person that

Time: 6770.119

intensity of that negative affect is you

Time: 6773.52

experience it as a property of that

Time: 6775.92

person but really it's coming from you

Time: 6779.04

it's it's not a property of that person

Time: 6781.32

it's that's a feature of your experience

Time: 6785

in that

Time: 6786.079

moment and affect is always there

Time: 6789.599

sometimes it's in the foreground

Time: 6790.84

sometimes it's in the background but

Time: 6791.96

it's always there and it's a summary of

Time: 6794.44

physical things which is why it helps to

Time: 6797.96

if you take ibuprofen or Tylenol it will

Time: 6801.639

redu I mean study show it reduces

Time: 6803.8

negative feeling if you go for a run if

Time: 6806.52

you go for a walk if you shift your

Time: 6808.36

attention to the outside

Time: 6810.8

world then the features that of

Time: 6813.84

experience that are derived from the

Time: 6815.96

inside World diminish that's why going

Time: 6819.88

for a run helps or going for a walk

Time: 6821.76

helps or you know getting sleep helps

Time: 6825.56

right these are all things where you're

Time: 6827.56

changing the state of your body and so

Time: 6830.599

the sensory state of your body is

Time: 6832.119

changing and so your affect changes but

Time: 6835.28

emotions are the story that the brain

Time: 6837.8

tells about what caused the sensory

Time: 6841.84

signals that affect derives from so what

Time: 6844.8

caused those changes what do I need to

Time: 6847.159

do about those changes that's that's

Time: 6849.599

like it's a it's a much

Time: 6851.159

bigger event than just these features of

Time: 6854.76

experience which are all features of

Time: 6856.36

Consciousness which are always there

Time: 6858.52

they're always there and in in

Time: 6860.679

fact in our

Time: 6863.48

culture we we pathologize people when

Time: 6868.199

they just experience their bodies as

Time: 6871.84

physical Sensations and not as emotions

Time: 6874.4

like we say oh that person is Som

Time: 6876.48

somatizing or somatizing they're not

Time: 6878.88

they should they're really they're they

Time: 6880.239

should be experiencing emotion but

Time: 6881.96

really they're you know experiencing a

Time: 6883.96

stomach ache and that's bad but that's

Time: 6886.079

actually a judgment call that is

Time: 6888.239

probably sometimes wrong sometimes it's

Time: 6890.719

probably better to experience a stomach

Time: 6892.679

ache sometimes it's more productive part

Time: 6895.119

of being emotionally intelligent is

Time: 6896.32

knowing when not to construct an

Time: 6898.76

emotion you know like uh right before Co

Time: 6902.36

the coid pandemic was announced

Time: 6904.52

officially I was in New Zealand giving

Time: 6910.32

talks and my

Time: 6912.76

daughter who was who was in college at

Time: 6916.04

that time was

Time: 6917.44

flying uh literally like

Time: 6920.32

I think less than a week before the

Time: 6922.4

pandemic was announced she got on a

Time: 6924.4

plane and she flew to New Zealand to

Time: 6926.119

meet me because it was spring break and

Time: 6927.48

I always would bring her with me on

Time: 6928.84

spring

Time: 6929.679

break and in that and I remember really

Time: 6933.159

vividly I was in New Zealand there was

Time: 6935.84

only one case one case of coid in New

Time: 6939.44

Zealand at that point and I I got on the

Time: 6942.599

phone to my husband and I

Time: 6945.119

said I'm experiencing a very high level

Time: 6948.52

of arousal and it's it's very very

Time: 6953.119

unpleasant now my husband knows me very

Time: 6956.639

well and he said yeah there's a lot of

Time: 6960

uncertainty and I said I know now he

Time: 6962.96

didn't say to me well you're anxious and

Time: 6964.48

you just don't really know it I because

Time: 6966.159

I wasn't anxious I was feeling

Time: 6969.48

uncertain and as you know or maybe

Time: 6973.32

people are know that when there's a lot

Time: 6976.28

of uncertainty there's also a lot of

Time: 6977.719

arousal because the brain is attempting

Time: 6980.84

to learn and the neurom modulators that

Time: 6983.32

are important for learning new things

Time: 6986

happen to also cause uh a subjective

Time: 6989.8

sense of arousal and some they actually

Time: 6991.8

also modulate your autonomic nervous

Time: 6993.56

system so your heart can beat faster and

Time: 6995

whatever and our go-to explanation for

Time: 6997.76

what that is is to experience that

Time: 7000.159

arousal as anxiety but I was uncertain

Time: 7004

and remember that how your brain the

Time: 7006.48

story it's telling itself the category

Time: 7008.44

it's making is a plan for action well

Time: 7011

what do you do in anxiety and fear you

Time: 7014.159

freeze or you run away what do you do in

Time: 7016.88

uncertainty you forage for information

Time: 7020.48

you tolerate the discomfort and you

Time: 7022.679

forage for information which is what I

Time: 7024.88

was doing when I called and said what

Time: 7027.079

should we do should I meet her at the

Time: 7028.56

airport and turn around and come back or

Time: 7029.96

should we have a vacation like I don't

Time: 7031.36

really know um and you know what I ended

Time: 7034.599

up doing was foraging for information

Time: 7036.28

for another couple days and then made a

Time: 7039.56

Split Second decision in the air when we

Time: 7042.28

were flying from one Island to the other

Time: 7044

and we just re-rooted us and we went

Time: 7045.56

home and then the borders closed like

Time: 7047.639

two days later you know but my point is

Time: 7050.84

that it this is not just you

Time: 7055.04

know

Time: 7056.599

uh psychological mumbo jumbo you can

Time: 7060.599

train yourself to

Time: 7063.28

experience your heart pounding in your

Time: 7066.639

chest as determination what when my

Time: 7070.36

daughter this is all in how emotions are

Time: 7072.28

made these examples but they're true I

Time: 7074.4

mean my daughter this is the this book I

Time: 7076.92

wrote a couple years ago when my

Time: 7078.48

daughter was 12 years old she was

Time: 7079.76

testing for a black belt in karate she

Time: 7082

was 5 feet tall not even and she was

Time: 7085.04

testing against these like massively

Time: 7087.28

large adolescent boys okay who were like

Time: 7090.36

a foot taller than her and her Sensei

Time: 7094.8

who was a 10th degree black belt didn't

Time: 7097.679

say to her don't be afraid

Time: 7100.32

he said get your butterflies flying in

Time: 7102.679

formation and I was like in raptured I

Time: 7106.639

was like oh my God this guy is totally

Time: 7108.4

brilliant that is the

Time: 7110.88

best you know meaning to give to

Time: 7116.239

arousal that changes the meaning of it

Time: 7120.92

what you do when you create an emotion

Time: 7123.199

is you're giving meaning to those

Time: 7126.079

affective

Time: 7127.639

feelings and you have have more

Time: 7131

control than you might think in how you

Time: 7134.04

do that you can do it by changing the

Time: 7136.679

physical state that gives rise to those

Time: 7138.56

feelings but you can also change it by

Time: 7140.44

learning more how to make more

Time: 7142.88

categories and how to make them more

Time: 7144.92

fluidly um so that you do something

Time: 7148.04

different

Time: 7149.56

and the it's not that things will

Time: 7152.36

necessarily feel any more unpleasant or

Time: 7155.199

any less or or any more pleasant it's

Time: 7158.36

that

Time: 7160.96

the feeling becomes a source of wisdom

Time: 7163.719

it's a cue to do something

Time: 7166.639

different this is a case uh where I

Time: 7169.76

absolutely believe that uh knowledge

Time: 7173.28

about how emotions and affect and states

Time: 7177.88

of the brain and body work which is what

Time: 7179.76

you're beautifully describing for people

Time: 7181.719

today is extremely useful in and of

Time: 7185.4

itself and I think um and I it's a

Time: 7188.719

frankly it's a it's a refreshing and

Time: 7190.88

welcome departure from a lot of the

Time: 7193.04

conversations that we normally have on

Time: 7194.56

this podcast where you know we talk a

Time: 7196.599

lot about protocols we talk about tools

Time: 7198.52

right things that people can do ways

Time: 7200.119

they can implement the knowledge and

Time: 7202.36

here this is certainly one of those

Time: 7204.599

cases as well but um it's a beautiful

Time: 7208.199

one and a very um important one

Time: 7212.32

where the knowledge itself just the

Time: 7215.44

knowledge of additional words for

Time: 7217.239

different states uh I love the example

Time: 7219.159

example of butter putting butterflies

Time: 7220.679

into formation because it it inherent to

Time: 7223.599

that is that you're not trying to get

Time: 7225.119

rid of the Butterflies quite the

Time: 7226.599

opposite yeah um you're deploying them

Time: 7229.239

in certain ways and there's an action

Time: 7230.719

step and a psychological step there of

Time: 7232.599

course that's required but that it isn't

Time: 7235.52

um you know view morning sunlight for an

Time: 7236.96

average of 10 minutes to set your

Time: 7238.119

circadian rhythm which is something that

Time: 7239.599

I say over and over again I'll go into

Time: 7241.56

the grave saying that they'll probably

Time: 7242.719

put a window over my grave so sunlight

Time: 7244.28

can get in at this point but which would

Time: 7246.04

be fine with me but in any case um

Time: 7250.04

knowledge is power is something that we

Time: 7251.88

hear but it's not always true often it's

Time: 7254.84

knowledge is power but you need to do X

Time: 7257.76

Y and Z in a certain order but here what

Time: 7259.88

you've provided and you you're

Time: 7261.32

continuing to provide is knowledge that

Time: 7264.84

people can use

Time: 7267.159

that real estate within their brain I'm

Time: 7269.52

deliberately not giving it a name um

Time: 7271.639

because it's it's distributed real

Time: 7273

estate that allows them to take an

Time: 7275.76

unpleasant feeling and work with it um

Time: 7278.92

that it has more dimensionality than we

Time: 7281.119

probably

Time: 7282.119

realize um that's becoming clear to me

Time: 7285.04

that rarely if ever is there less

Time: 7287.76

dimensionality um you can always give it

Time: 7290.119

more dimensionality by just shifting

Time: 7291.76

your attention and you can practice this

Time: 7293.96

really so you know like there's a story

Time: 7296.28

that I tell about when I the brief uh

Time: 7298.4

moment when I tried to learn how to

Time: 7299.8

paint you know and so uh there's an

Time: 7302.4

object like a cup and you have this

Time: 7304.4

three-dimensional object and you want to

Time: 7305.76

render it on a two-dimensional canvas so

Time: 7309.079

you could just try to draw the cup and

Time: 7311.32

then what you get is a pretty shitty

Time: 7312.84

looking you know cup um but what what a

Time: 7319.159

realist painter will teach you to do is

Time: 7321

to take the cup and to break it apart

Time: 7323.56

into pieces of light and then what you

Time: 7326.32

try to paint are the pieces of light so

Time: 7328.56

you're transferring your first what

Time: 7330.119

you're doing is you're taking this very

Time: 7332.56

low dimensional coarse object called a

Time: 7335.76

cup and you're breaking it into tiny

Time: 7337.8

little pieces of light which is what the

Time: 7339.719

visual system does which is what the

Time: 7340.92

visual system does and so what you're

Time: 7342.36

doing is you're categorizing it

Time: 7344.239

differently in order to emphasize the

Time: 7347.32

features that are more High dimensional

Time: 7349.679

that are in there right they're in there

Time: 7352.28

in in the brain but you can but what

Time: 7355.199

you're doing essentially is you're

Time: 7356.76

you're having the brain your brain is

Time: 7358.84

applying attention to basically um focus

Time: 7363

more on those details and then you

Time: 7365.04

transfer the details on to the

Time: 7367.96

two-dimensional canvas and what you get

Time: 7370.44

is a pretty decent looking

Time: 7373.159

three-dimensional Cup on a

Time: 7375.44

two-dimensional canvas aming un unless

Time: 7377.88

you're me and and then it still looks

Time: 7379.8

shitty uh you know and so maybe I'll

Time: 7382.88

I'll take it up again sometime uh in the

Time: 7385.079

future but my point is that you can do

Time: 7386.599

that with your own sensory condition of

Time: 7388.679

your body in Emotion you can

Time: 7391.36

deliberately focus on what your heart is

Time: 7393.92

doing to the to your the best of your

Time: 7396.159

ability that you can sense it right or

Time: 7397.8

you can deliberately Focus on your

Time: 7399.28

breathing or you could deliberately

Time: 7400.599

focus on what your muscles are how they

Time: 7402.719

how tense they feel you can you can

Time: 7405.36

change the dimensionality of your

Time: 7407.079

experience by the shifting of your

Time: 7409.639

attention I love it and uh forgive me

Time: 7412.88

for giving another example but I think

Time: 7414.199

it's one that will resonate with both of

Time: 7415.599

us and hopefully with our listeners as

Time: 7417.119

well which is um the great Oliver Sachs

Time: 7419.8

neurologist and author um talked about

Time: 7423.96

and wrote about you know he'd work with

Time: 7426

these patients that were either had

Time: 7428.88

locked in syndrome or severe autism or

Time: 7431.719

severe tourettes or Parkinson's and you

Time: 7434.36

know most people would even clinicians

Time: 7437.88

who specialize in those areas would look

Time: 7439.4

at those people and say that they're

Time: 7440.92

living in a diminished world it's it's

Time: 7443.4

they lack capacities that other people

Time: 7445.4

have and um and it's all about the a the

Time: 7448.92

absence of certain abilities and uh and

Time: 7452.159

then what he did eventually was

Time: 7453.679

incredible he loved animals so he would

Time: 7456.079

spend time thinking about what would be

Time: 7459.159

like for instance to be a bat hanging in

Time: 7462.199

the corner of a room and experience the

Time: 7464.28

room not through vision but mainly

Time: 7466.8

through echolocation and he would spend

Time: 7469.04

a lot of time thinking about that he

Time: 7471.239

also did a lot of drugs at one point in

Time: 7472.84

his career and then stopped because they

Time: 7474.8

were very destructive drugs not just

Time: 7476.599

psychedelics but also methamphetamine so

Time: 7478.679

yes he has that but he eventually

Time: 7480.36

changed his practice to trying to

Time: 7482.96

experience human emotion but first think

Time: 7486.04

about animal sensory experience MH and

Time: 7488.719

and he would do that for lots of

Time: 7489.679

different types of animals octopus and

Time: 7491.76

bats and all these different things and

Time: 7493.28

then it allowed him in his words it

Time: 7496.119

allowed him to then interact with

Time: 7498.32

patients in a way where he could feel

Time: 7501.44

maybe even empathize a little bit with

Time: 7503.559

how they experienced life and then he

Time: 7505.32

would write books about it in a way and

Time: 7507.639

here I'm borrowing someone else's words

Time: 7509.239

that storied these people into almost

Time: 7513.199

greater Larger than Life characters and

Time: 7516.559

now of course he wasn't trying to

Time: 7517.96

detract from their suffering but he was

Time: 7520.079

trying to give people an understanding

Time: 7521.52

of what that suffering was like through

Time: 7523.92

their actual experience and he did it in

Time: 7526.96

my opinion and the opinion of many other

Time: 7529.119

people a masterful job in doing and and

Time: 7531.96

it but it came through much in the same

Time: 7533.36

way that your art teacher said you know

Time: 7535.92

pay attention to the way the the the

Time: 7537.559

changes in light across the the the

Time: 7539.639

object as opposed to trying to draw draw

Time: 7541.36

the object themselves that when we so

Time: 7543.44

the the takeaway here that I I think

Time: 7545.4

we're arriving at is that that you've

Time: 7547.8

provided is that

Time: 7549.52

if we take a if we add dimensionality to

Time: 7552.8

our description of or experience of the

Time: 7555.119

sensory inputs and there's a ton of it

Time: 7558.88

to reach to and we maybe even come up

Time: 7561.639

with some new internal labels or

Time: 7564

language based labels that we can

Time: 7567.239

experience the world in much richer and

Time: 7569.04

much more adaptive ways absolutely and I

Time: 7572.04

I love I love your stories and I love

Time: 7574.559

this story in particular about Oliver

Time: 7576.44

sax because um it resonates with my

Time: 7579.32

experience when I was reading um Ed

Time: 7581.8

yong's new book oh um first he wrote We

Time: 7585.76

contain multitudes which I think one

Time: 7587.44

aiter and then um uh what is the recent

Time: 7590.88

one with animals an immense World an

Time: 7592.84

immense world and what I what I was

Time: 7594.4

thinking was you

Time: 7595.639

know it's a first of all it's a

Time: 7598.8

masterful masterful masterful book I I

Time: 7601.159

wish I had written that book I I wrote

Time: 7602.76

him a fan letter I was like this is such

Time: 7604.239

an amazing book it's an amazing book um

Time: 7606.76

but because he help helps

Time: 7609.84

you

Time: 7611.8

experience so what what I want to say is

Time: 7614.48

this that there are all these animals

Time: 7616.4

that have different sensory surfaces

Time: 7618.079

than we do and they can detect signals

Time: 7620.48

in the world that are that we that are

Time: 7622.48

not relevant to us because we don't have

Time: 7623.96

sensory surfaces for

Time: 7625.76

them and it reminds you first of all

Time: 7629.719

that what you experience as reality is

Time: 7633.199

really not in the world alone and it's

Time: 7636

not in your head alone it is in the

Time: 7638.199

trans action between the two you know

Time: 7641.159

your the neurons in your brain in in

Time: 7643.36

your nervous system are also part of the

Time: 7645.199

reality and so reality is the

Time: 7648.119

transaction reality are the are the

Time: 7650.199

features that are the transaction

Time: 7651.639

between signals in the world and signals

Time: 7654.159

in your brain

Time: 7657.079

and the parts of the world that some

Time: 7659.44

other animals experience that we will

Time: 7661.28

never experience they're not really part

Time: 7663.679

of our reality because they don't

Time: 7664.96

interact with any of the anything that

Time: 7667.52

we have but for those animals it's part

Time: 7670.639

of their Niche it's part of their you

Time: 7672.119

know Niche is just the word for the

Time: 7673.599

parts of the world that matter to you

Time: 7675.52

basically and I was thinking that if

Time: 7677.92

people read this book and you know maybe

Time: 7680.599

it will help them have empathy for other

Time: 7684.32

people who don't have Minds like theirs

Time: 7687.32

and who don't experience the world in

Time: 7689.679

the way that they do your description of

Time: 7691.92

what what um Oliver sax his what his um

Time: 7697.199

his actions were and his schools it did

Time: 7699.8

occur to me that this book by Edy would

Time: 7701.84

be a great

Time: 7703.84

tool for helping people to understand

Time: 7706.559

that the way that they experience the

Time: 7708.48

world it might be different than how

Time: 7710.76

other people experience the world and

Time: 7712.8

even a little bit of a window on that it

Time: 7715.239

would be a good thing so I'd like to ask

Time: 7717.28

you more about this word

Time: 7719.32

affect and then I'd like to discuss how

Time: 7723.76

things that we do or don't do might be

Time: 7726.679

useful for putting us in Broad

Time: 7729.239

categories of affect so that we might

Time: 7733.48

experience particular arrays of emotions

Time: 7736.88

um so this is my attempt to understand

Time: 7739.32

affect in an effort to think about some

Time: 7742.239

actionable items

Time: 7743.96

absolutely I love the word affect the

Time: 7746.239

way you described it setting up a

Time: 7749.88

potential or a series of potentialities

Time: 7752.48

for different emotions to occur you know

Time: 7756.079

I make it a point to get sunlight in my

Time: 7758.04

eye in the morning to try and wake up my

Time: 7760.44

brain and body because indeed it does

Time: 7762.119

that um uh broadly speaking I make an

Time: 7764.96

effort to get good sleep at night

Time: 7766.48

because that makes everything better

Time: 7768.88

absolutely and when I'm not sleeping

Time: 7770.599

well or enough it makes everything worse

Time: 7775.239

this is non-clinical non- nuanced

Time: 7777.84

language but I think most people when

Time: 7781.36

they hear affect and if they think about

Time: 7784.119

the examples I just gave kind of

Time: 7786.52

understand like yeah like when a kid is

Time: 7788.36

tired young kid they get cranky when

Time: 7791.159

we're sleep deprived we get cranky

Time: 7793.04

indeed there are times when I'm sleep

Time: 7794.52

deprived and Little Things Great on me

Time: 7798.04

they like a splinter just feels super

Time: 7800.52

annoying and maybe even painful but when

Time: 7803.44

I'm well rested things are going better

Time: 7805.88

it's not that bad so tell tell us more

Time: 7808.88

about affect because I think it's a

Time: 7810.719

really important Anchor Point for us to

Time: 7813.84

understand emotions in ourselves and

Time: 7815.679

other people

Time: 7817.239

neuroscientists

Time: 7819.559

think

Time: 7821.679

about the sensory systems for touch and

Time: 7824.92

proception which we call somata

Time: 7827.36

sensation as being in the service of

Time: 7831.599

motor move skeletal motor movements you

Time: 7834.28

really the our sense of touch and even

Time: 7836.96

Vision actually also works this way um

Time: 7840.36

and he and actually audition does too

Time: 7842.079

these senses actually serve in um the

Time: 7845.559

brain's ability to um control the

Time: 7848.44

movements of the body and the same thing

Time: 7850.92

is

Time: 7852.04

true uh for the um regulating the

Time: 7857.599

systems of the body so brains one of

Time: 7860.679

their fundamental jobs are to coordinate

Time: 7863.4

and um regulate the systems inside your

Time: 7867.32

body your heart your lungs your gut you

Time: 7869.84

know all the moving parts and the

Time: 7873.679

information the the sensory signals that

Time: 7877.32

that those um organs and and tissues and

Time: 7880.559

so on send back to the

Time: 7882.719

brain

Time: 7884.96

um as I said before those sensory

Time: 7889.199

signals are important to the brain's

Time: 7890.96

ability to regulate the body but we

Time: 7893.52

don't feel them

Time: 7895.079

directly we usually experience them as

Time: 7898.52

affective feelings these very simple

Time: 7901.079

physical sorts of feelings and then we

Time: 7903.44

elaborate them in various ways they they

Time: 7905.559

really when they get very intense that

Time: 7907.32

those are the moments when the brain

Time: 7908.84

creates a creates a motion out of

Time: 7911.559

them

Time: 7914.159

so the brain's regulation of the body

Time: 7917.44

the predictive regulation of the body is

Time: 7920.28

the technical term is allostasis but

Time: 7922.719

when I'm explaining this to the public I

Time: 7925.04

use a metaphor and you know all

Time: 7927.48

metaphors are wrong but some metaphors

Time: 7930.4

are less wrong and useful so the

Time: 7934.4

metaphor that I use is um your brain is

Time: 7937.679

running a budget for your body and it's

Time: 7940.32

not budgeting money it's budgeting

Time: 7942.36

glucose and salt and oxygen and water

Time: 7944.559

and all the nutrients that you need to

Time: 7946.92

stay alive and well and so you can think

Time: 7949.119

about withdrawals from that budget like

Time: 7953

burning glucose or using up oxygen um

Time: 7957.92

you can think about deposits like

Time: 7960.88

sleeping and eating um you can think

Time: 7963.8

about you know

Time: 7965.559

savings um so when you're with a friend

Time: 7968.52

who you trust and you know everything

Time: 7970.679

you do actually is just slightly less

Time: 7972.44

metabolically expensive right and you

Time: 7974.639

can also think about taxes um like if

Time: 7977.4

you are stressed socially stressed

Time: 7979.8

within two hours of eating a meal that

Time: 7983.159

same meal will cost

Time: 7986.159

you aund the equivalent of 104 more

Time: 7989.8

calories in the inefficiency that you

Time: 7992.639

will metabolize it because of that

Time: 7994.96

stress um meaning you'll burn more

Time: 7997.4

energy you'll be more

Time: 8000.639

inefficient in metabolizing the food so

Time: 8005.599

it's as if you had eaten 104 more

Time: 8007.96

calories oh so I had exactly backwards

Time: 8010.119

and so over the course of a year that's

Time: 8011.76

11 pounds so when we say that people are

Time: 8014.88

taxing on us yeah we like it's literally

Time: 8017.639

true their language Works their language

Time: 8020

works so the way I describe it is that

Time: 8021.84

you can think about affect as a quick

Time: 8024.96

and dirty summary of the state of your

Time: 8027.559

body but

Time: 8028.76

budget if things are going reasonably

Time: 8033.8

well then you'll feel okay you might

Time: 8037.92

even feel

Time: 8039.239

Pleasant if you're running a deficit in

Time: 8043.76

your body budget then you're going to

Time: 8045.48

feel fatigued or or

Time: 8047.92

distressed and that doesn't mean

Time: 8049.8

something is necessarily wrong like for

Time: 8051.719

example when you exercise you get to a

Time: 8053.599

certain point where you've reached your

Time: 8055.4

ventilatory load usually it's like you

Time: 8057.719

know 20 minutes in or 10 minutes in or

Time: 8059.96

whatever depending on how hard you're

Time: 8061.44

working and you start to feel unpleasant

Time: 8063.679

and fatigued but that doesn't mean that

Time: 8065.92

something's wrong that just means that

Time: 8067.239

you're working really hard and you have

Time: 8068.679

to push through it and then you know

Time: 8070

when you you know drink water and you

Time: 8071.84

know you eat afterwards and replenish

Time: 8073.84

and then you're fine right in fact

Time: 8075.239

you're better it's it's a a way of um

Time: 8077.84

building a better stronger future

Time: 8080.92

you so affect is basically you know when

Time: 8085.199

when things when you're feeling really

Time: 8086.4

worked up it probably means that

Time: 8087.88

something's uncertain

Time: 8089.599

somewhere so I just think about these as

Time: 8092.119

like quick and dirty ways of thinking

Time: 8094

about your your what your what Your

Time: 8097.119

affect means and um and then oftentimes

Time: 8102.32

as we've said before emotion regulation

Time: 8104.36

that is controlling emotion really

Time: 8106.079

actually is not so much about changing

Time: 8107.96

the meaning of affect it's changing the

Time: 8110.44

affect um and um so it's useful to

Time: 8116.32

understand that affect is tied to the

Time: 8120.119

state of your body or actually what it's

Time: 8122.4

tied to is your brain's beliefs about

Time: 8124.44

the state of your body your brain is

Time: 8126.44

modeling the state of the body and

Time: 8129

that's interception that's the technical

Time: 8131.119

word interception is not your awareness

Time: 8134.199

of your body it's your brain's modeling

Time: 8136.679

of your body what your brain believes to

Time: 8138.199

be true about the metabolic state of

Time: 8139.599

your body and that's how I think about

Time: 8143.36

affect that's how I think about my own

Time: 8144.88

affect that's and my daughter actually

Time: 8147.32

who um you know was depressed for so I

Time: 8150.719

should say depression is like a bankrupt

Time: 8152.679

body budget like you just can't move you

Time: 8156.239

you feel fatigued so fatigued that you

Time: 8158.84

can't move and you're very distressed

Time: 8161.599

it's like bankruptcy and actually if you

Time: 8165.239

I mean depression is a metabolic illness

Time: 8169.119

and if you look at the symptoms of

Time: 8170.8

depression they really are about

Time: 8173.96

metabolic

Time: 8176.159

um uh having metabolic deficits

Time: 8179.28

basically and it's interesting that one

Time: 8181.119

of the Hallmark features of depression

Time: 8182.96

subjectively speaking is lack of

Time: 8185.28

positive anticipation about the future

Time: 8187.48

which makes perfect sense from the

Time: 8189.96

perspective of a depleted brain body

Time: 8192.2

budget yes exactly you're and you're

Time: 8194.359

basically think about the fact that

Time: 8196.719

prediction error right so if you're

Time: 8198.96

feeling unpleasant you're not going to

Time: 8200.599

be anticipating Pleasant things and even

Time: 8202.599

if those things that are in the world

Time: 8204.439

could give you pleasure you won't notice

Time: 8206.519

them because learn learning from

Time: 8208.439

prediction error things that you didn't

Time: 8210.28

predict is expensive and if you don't

Time: 8212.479

have the resources you're not going to

Time: 8214.479

right so it's but anyways my daughter

Time: 8216.719

came up with this um after we had this

Time: 8220.8

very interesting thing that happened to

Time: 8222.439

us on another trip um we were in Sweden

Time: 8225.24

because I was giving a a keynote at The

Time: 8227.359

kolinska Institute and we went I took

Time: 8229.599

her to Sweden and this is when she was

Time: 8231.84

recovering from depression and like you

Time: 8234.439

know she is just one of the millions of

Time: 8236.96

young

Time: 8238.16

adults who you know adolesence young

Time: 8241.12

adults who were experiencing depression

Time: 8245.16

and uh we got to Sweden and she was very

Time: 8250.92

very jet lagged we both were it was like

Time: 8252.76

one of these like you know we had to

Time: 8254.96

like you know Planes Trains and

Time: 8257.639

Automobiles like it was just you know

Time: 8259.24

getting there and she woke up the next

Time: 8261.679

morning and

Time: 8262.719

she she looked horrible she felt

Time: 8264.92

horrible it actually seemed to me like

Time: 8266.519

she was about to enter another

Time: 8267.88

depressive episode and I said to her I

Time: 8272.399

basically got her out of bed I fed her a

Time: 8274.76

meal I gave her four ibuprofen and I put

Time: 8277.28

her back to sleep and she got up five

Time: 8279.559

hours later and she was absolutely fine

Time: 8281.28

her mood was fine now I'm not telling

Time: 8283.76

you that Ibuprofen is the an

Time: 8286

anti-depressant that you should take if

Time: 8287.439

you're depressed but what I'm telling

Time: 8289.319

you is that you know you said something

Time: 8291.08

Andrew that was so interesting at the

Time: 8292.679

beginning you said am I fatigued does my

Time: 8295.08

body do I have pain somewhere is my body

Time: 8297.12

hurt you know these are well right when

Time: 8299.92

basically what she was having was she

Time: 8302.96

was fatigued and she was having what I

Time: 8304.92

would call um it's called the technical

Time: 8308.399

word is visceral notion which means her

Time: 8311.479

stomach hurt her you know everything

Time: 8313.599

hurt and sure you know her muscles

Time: 8315.439

probably hurt too but it was really her

Time: 8316.8

innards really she just was distressed

Time: 8320.16

and the um the ibuprofen helped her get

Time: 8323.559

back to sleep and then she slept and she

Time: 8325.12

got up and she was completely fine and

Time: 8326.92

then we walked around Stockholm for the

Time: 8328.559

rest of the day talking about this

Time: 8330

experience which for her was like

Time: 8331.559

flipping on a light switch you know how

Time: 8333.84

emotions are made this book that I

Time: 8335.479

referred to I wrote that book for her I

Time: 8338.559

wrote that book for her but also for me

Time: 8340.439

because it was a way of putting down on

Time: 8343.12

paper all the things that I wanted her

Time: 8344.96

to know that and that I thought other

Time: 8347.519

people should know about their kids you

Time: 8349.519

know and maybe even their kids could

Time: 8350.8

read it but what she did with that was

Time: 8354.359

she came up with a New

Time: 8356.12

Concept called the emotional flu and the

Time: 8360.12

emotional flu is when you're having a

Time: 8363.359

bad body budgeting day and you're just

Time: 8366.2

like you didn't get enough sleep maybe

Time: 8368.599

or you know there's some stress at at at

Time: 8371.679

work or at school that you can't get rid

Time: 8374.08

of otherwise you know my husband likes

Time: 8375.76

to say well uh you know other people's

Time: 8379.2

opinions of you are just electrical

Time: 8380.96

activity in somebody's head which I love

Time: 8383.88

like that's just another way of

Time: 8384.88

categorizing it it's sort of like taking

Time: 8386.439

apart the taking apart the cup into

Time: 8388.519

pieces of light right and so whatever

Time: 8391.479

there are just these moments where you

Time: 8392.64

feel depleted and you could use that I

Time: 8395.76

mean the we usually we often use affect

Time: 8398.92

to as a as a indicator of how the world

Time: 8402.359

is you know if I feel bad something must

Time: 8404.6

be bad wrong in the world but you have

Time: 8407.72

to resist that sometimes because

Time: 8409.56

sometimes there's nothing wrong in the

Time: 8410.84

world it's just that you didn't get

Time: 8412

enough sleep or you know you need to

Time: 8414.08

have a little bit more you know protein

Time: 8416.28

or maybe you haven't gone for a walk and

Time: 8418.16

you're stiff or whatever you need to do

Time: 8419.8

some stretching are those sorry to

Time: 8421.6

interrupt but I think people are going

Time: 8422.84

to want to Anchor to a few of these um

Time: 8425.84

you positive steps that they can take to

Time: 8428.2

to I don't want to say replenish but to

Time: 8429.8

shift affect in Positive Directions

Time: 8432.96

sleep movement nutrition yes and I've

Time: 8436.319

heard you say before that we are

Time: 8438.319

essentially amino acid forging machines

Time: 8441.16

so I noticed you said protein you didn't

Time: 8442.96

say you need a bagel you said protein um

Time: 8446.64

we could go down that rabbit hole maybe

Time: 8448.319

maybe we do maybe we don't but I want to

Time: 8451.2

use this also just as a quick

Time: 8452.56

opportunity to say as you're saying all

Time: 8455.16

this one can immediately understand why

Time: 8458.64

alcohol and drugs of abuse are both so

Time: 8461.6

compelling yeah right you're not feeling

Time: 8463.84

well so take a you're feeling tired take

Time: 8466.399

a stimulant that releases dopamine and

Time: 8468.08

epinephrine but you're taxing your

Time: 8470.359

already taxed body budget yes in a way

Time: 8473.2

that then puts you in a more depleted

Time: 8474.96

State later or alcohol like you feel

Time: 8477.72

lousy alcohol never did this for me but

Time: 8479.6

friends I have who are recovered

Time: 8480.88

alcoholics will tell me that it was like

Time: 8482.84

a magic Elixir it made them feel right

Time: 8485.92

that's their language but then of course

Time: 8487.84

there's a price to pay later because

Time: 8489.16

then it drops your Baseline below where

Time: 8490.8

it was initially absolutely

Time: 8493.64

100% but I just also want to say that so

Time: 8498.2

is serotonin like so are so is so are

Time: 8501.399

ssris

Time: 8503.16

maybe and when I say maybe what I mean

Time: 8505.479

by that is if you you really have a

Time: 8508.04

metabolic problem like say something's

Time: 8510.04

wrong with your mitochondria or you're

Time: 8511.68

recovering from an illness and you know

Time: 8514.439

that or or there's just some metabolic

Time: 8516.08

problem in your

Time: 8517.28

body that metabolic problem is

Time: 8520.68

real if you start to feel unpleasant you

Time: 8524.16

will I mean feel unpleasant it will feel

Time: 8526.52

your mood will be

Time: 8528.68

negative if you start taking serot if

Time: 8531.24

you start taking ssris which will leave

Time: 8533.88

more serotonin in the synapses your uh

Time: 8538.16

neurons before it's re it's taken up

Time: 8540.92

again that will juice the system you

Time: 8544.399

will be able to spend you'll be able to

Time: 8546.64

move you'll feel like you have more

Time: 8548.359

energy for a while but your nervous

Time: 8552.28

system is is a complex system and so

Time: 8555

it's going to make adjustments

Time: 8556.84

elsewhere to try to deal with that

Time: 8559

budgeting problem so exactly what

Time: 8562.24

happens when you take drugs of abuse and

Time: 8565.28

what happens on the short term can

Time: 8567.399

happen for some people with ssris on the

Time: 8569.8

longer term where at first it starts to

Time: 8572.12

work and then it stops stops working and

Time: 8574.56

you start to gain weight and you know

Time: 8576.8

and your because your metabolism is

Time: 8578.359

slowing because your brain is attempting

Time: 8579.8

to deal with that with that budgeting

Time: 8581.92

problem so it really matters what the

Time: 8584.6

you know what the source is it could be

Time: 8586.88

that your brain believes you have a

Time: 8588.399

budgeting problem but there really isn't

Time: 8590.16

one it could be that there really is one

Time: 8593

these things matter to how you treat it

Time: 8595.8

one thing uh to um just mentioned about

Time: 8598.52

ssris and I unfortunately for reasons of

Time: 8601.04

confidentiality I can't cite The Source

Time: 8603.04

on this but let me just say that

Time: 8604.439

somebody who's highly informed in the in

Time: 8606.6

the landscape of of pharmaceutical

Time: 8608.84

treatments for um psychiatric challenges

Time: 8612.12

has told me that there's an emerging

Time: 8614.56

Theory among psychiatrists is kind of a

Time: 8616.84

collective emerging theory that um one

Time: 8619.64

of the reasons why nowadays you hear

Time: 8622.16

about so-called treatment resistant

Time: 8623.96

depression but you did not hear about

Time: 8627.08

so-called treatment resistant depression

Time: 8628.92

prior to the Advent of ssris is that

Time: 8631.92

there's a growing body of thought in the

Time: 8633.72

psychiatric community that SSR eyes may

Time: 8636.319

over time as you're pointing out deplete

Time: 8639.479

the very neural systems that subserve

Time: 8641.439

enhanced mood so it's it's different

Time: 8644.04

than a drug of abuse that gives you a

Time: 8645.439

very acute effect like methamphetamine

Time: 8647.2

or cocaine or alcohol but that over time

Time: 8650.92

you may actually be pulling the very

Time: 8653.08

neural circuits and neurochemicals that

Time: 8655.84

would allow for positive affect deeper

Time: 8658.52

and deeper into the trenches um so to

Time: 8661.64

speak and so there's a growing number of

Time: 8663.439

people who simply don't respond to the

Time: 8665.16

drugs any longer or other treatments

Time: 8667.439

right so I wasn't trying to say the

Time: 8668.68

mechanism is the same I was basically

Time: 8670.399

saying the theme is the same and I'm

Time: 8672.439

agreeing with you what happens over the

Time: 8673.92

short term with drugs of abuse happens

Time: 8675.88

over the longer term with for some

Time: 8677.64

people with ssris because it hasn't been

Time: 8679.92

recognized yet that the that at the

Time: 8683.279

basis depression is a metabolic problem

Time: 8687.24

and when you have a metabolic problem

Time: 8688.84

like diabetes or obesity or like uh or

Time: 8692.6

um heart disease it's not that that

Time: 8695.08

causes depression it's that there's a

Time: 8697.2

common problem which is that somewhere

Time: 8700.56

in this very complex system of your

Time: 8702.479

metabolism there's there there's a drag

Time: 8705.68

and it produces negative mood and that's

Time: 8708.84

how you experience it sometimes it's

Time: 8710.72

good not to turn it's productive not to

Time: 8713.92

turn uh that negative affect into to an

Time: 8718

emotion sometimes you know sometimes a

Time: 8720.52

cigar is just a cigar sometimes you just

Time: 8723.08

need to deal with the affec of Problem

Time: 8725.399

by dealing with the physical your

Time: 8727.08

physical state and that's the tricky bit

Time: 8729.88

is knowing when is affect telling you

Time: 8732.8

something is wrong with the world and

Time: 8734.52

when is it telling you that there's

Time: 8736.16

something wrong with your physical state

Time: 8737.399

that you need to attend to I think

Time: 8739.359

everything to me at least starts with a

Time: 8743.439

good night's sleep on a consistent basis

Time: 8745.52

and and every psychiatric Challenge and

Time: 8748.16

indeed suicide itself um is seems to be

Time: 8751.56

associated with and often preceded by

Time: 8754.56

challenges in sleeping changes in in in

Time: 8757.52

circadian rhythm so I think um that's

Time: 8759.8

why to me sleep is the foundation of

Time: 8761.439

mental health and physical health yep

Time: 8763.08

absolutely and so when I tell people

Time: 8764.84

when they say well what can I do I was

Time: 8766.12

like well if there's only if there's

Time: 8767.359

only one thing that you could pick I

Time: 8769.359

would say get get a good night's sleep

Time: 8771

on a regular basis if you could pick two

Time: 8773.16

more I would say eat healthfully like

Time: 8775.04

stop eating pseudo food don't get me

Time: 8777.319

wrong like I love french fries I love

Time: 8779.12

french fries they're like that's like

Time: 8780.52

God's most perfect food I mean really

Time: 8783.92

but eat healthfully like eat real food

Time: 8788.04

and get exercise and if you do those

Time: 8790.279

three things I know I sound like a

Time: 8791.88

mother and so feel free to roll your

Time: 8794.52

eyes at me but as a neuroscientist those

Time: 8797.16

are the actually before you start with

Time: 8799.76

all the you know mentalizing Jedi tricks

Time: 8801.88

you could just start with this and that

Time: 8803.96

would actually take you pretty far and

Time: 8806.16

and um and that will resonate very well

Time: 8808.96

with our audience um the basics of sleep

Time: 8813.319

exercise food sunlight and social

Time: 8815.439

connection are the ones that we just

Time: 8817.04

anchor those five are the ones that that

Time: 8819.96

we just keep returning to over and over

Time: 8821.6

again and I think people will say oh

Time: 8823.359

it's just simple uh motherly advice but

Time: 8826.399

I would I think that those five things

Time: 8828.88

even just the one thing around sleep

Time: 8831.319

there's some work that's required to get

Time: 8833.04

that done so it's not as simple the

Time: 8834.92

categories are simple but the work

Time: 8836.88

that's required to get great sleep as

Time: 8840.56

often as one can on a consistent basis

Time: 8842.56

if you're raising kids have a career

Time: 8844.6

live in the world um there's a lot there

Time: 8847.04

and so that's where I think there's

Time: 8848.319

there's a there's an elaboration of of

Time: 8850.12

things and one needs to learn to be be

Time: 8851.84

flexible like when you're traveling how

Time: 8853.439

do you do that when you know friends are

Time: 8855.88

visiting how do you do that when

Time: 8857.479

weather's off and so on the the

Time: 8859.92

relationship piece is something I was

Time: 8861.24

just going to I was just going to say

Time: 8862.24

I'm so glad you mentioned that I'm so

Time: 8864

glad you mentioned that because You'

Time: 8865.08

said before and and this was another one

Time: 8867.08

of those moments I listen to you I've

Time: 8868.76

listened to as many of your podcasts as

Time: 8870.399

I possibly can but I think it was the

Time: 8872.359

first or the second one with Lex fredman

Time: 8874.88

um where you said you know we are

Time: 8876.319

regulating each other's nervous systems

Time: 8879.04

I will never forget that and you

Time: 8882.08

know I imagine that you married your

Time: 8884.479

husband for a number of different

Time: 8885.52

reasons but um when people pair up with

Time: 8890

romantic partners with friends with

Time: 8892.359

co-workers the ideal situation is one in

Time: 8895.04

which we are not tacked

Time: 8898.24

where maybe even people and just being

Time: 8901.399

around them or just knowing that they

Time: 8902.72

are in our lives provides a sort of

Time: 8905.439

deposit to yeah it's a savings it

Time: 8907.88

provides a saing for sure and and I

Time: 8909.88

think that's a lot of what emotional

Time: 8911.359

resonance to put kind of Pop language on

Time: 8913.479

it is is all about who who feels good to

Time: 8916.479

be around who doesn't feel good to be

Time: 8917.8

around I would say the best thing for a

Time: 8920.92

human nervous system is another human

Time: 8924.56

and the worst thing for a human nervous

Time: 8926.24

system

Time: 8927.319

is also another human and so you really

Time: 8930.479

want to be around the people who make

Time: 8932.12

you the best the best version of

Time: 8933.92

yourself that you could be and that

Time: 8936.6

doesn't mean that you always get a

Time: 8938.12

savings like sometimes you're sometimes

Time: 8940.72

you're taking care of that person and so

Time: 8943.439

you're you're absorbing some of the

Time: 8945.92

their burden right and vice versa but I

Time: 8949.399

would

Time: 8950.24

say the research on you know social

Time: 8953.96

isolation and loneliness and so on shows

Time: 8956.12

us that that you know well along with

Time: 8958.319

research on synchrony and there's just a

Time: 8960

whole bunch of research to to suggest

Time: 8962.16

that um we are the caretakers of each

Time: 8964.68

other's nervous systems and it doesn't

Time: 8966.64

matter what your opinion is like it

Time: 8968.479

doesn't you know it just but we just

Time: 8970.68

that's how we evolved as a species and

Time: 8972.319

so you get to

Time: 8974.04

decide what kind of a person are you

Time: 8976.08

going to be you know are you going to be

Time: 8979.96

uh are you going to be a savings or are

Time: 8982.319

you going to be a tax and in general it

Time: 8984.319

seems that people who decide that

Time: 8985.479

they're going to be a savings

Time: 8987.52

um tend to because people gravitate

Time: 8990.2

towards that and want more of that yeah

Time: 8992.6

and hopefully would provide that also I

Time: 8994.64

mean I think the reciprocity piece here

Time: 8996.319

feels really really strong well that's a

Time: 8998.68

really interesting thing about um about

Time: 9000.72

the synchrony work right so there's work

Time: 9003.04

that if you research that if you put

Time: 9004.8

people together who don't even know each

Time: 9006.08

other but if they if they like each

Time: 9007.72

other and they they have a sense of

Time: 9009.04

trust even after a couple of minutes

Time: 9010.72

they start to synchronize their physical

Time: 9012.319

signals their heart rate starts to

Time: 9014.64

synchronize their movements start to syn

Time: 9016.8

their heart rate probably synchronizes

Time: 9018.16

because their breathing starts to

Time: 9019.52

synchronize right and it's really

Time: 9021.52

interesting to see what you what you

Time: 9023

typically see is that who is pacing and

Time: 9025.52

who is leading like one person is the

Time: 9027.319

leader and then the other person is the

Time: 9029.56

Pacer um and I got that language from

Time: 9032.08

when I learned hypnosis by the way and

Time: 9034.479

um but it switches back and forth like

Time: 9036.72

who's the leader like in a in a good in

Time: 9039.16

a in a what would we say good like in a

Time: 9040.92

in an interaction that looks productive

Time: 9043.76

it it's switching all the time who is

Time: 9046.2

who who is pacing and who is leading

Time: 9048.24

it's not that always one person is is um

Time: 9052.319

is in charge so to speak physiologically

Time: 9054.64

speaking we did a series recently on

Time: 9056.479

Mental Health with Paul kti who's a um

Time: 9058.88

psychiatrist and the word narcissism

Time: 9061.279

came up a few times because people have

Time: 9062.8

a lot of questions about that you know

Time: 9064.439

and he um emphasized that narcissists

Time: 9066.96

are not confident they they operate from

Time: 9068.76

a place of of a deficit of pleasure It's

Time: 9071.2

never enough and an intense Envy

Time: 9073.279

although that's not how they present and

Time: 9074.64

they're often usually not aware of it

Time: 9078.399

themselves but it's what leads healthy

Time: 9080.76

people to feel as if the interactions

Time: 9082.479

with those people narcissists often can

Time: 9084.68

be very compelling in the moment but

Time: 9086.96

they feel very taxed afterwards and kind

Time: 9088.88

of confused by what happened and it

Time: 9091.359

sounds like it uh ties back to this lack

Time: 9094.04

of synchrony um on the positive side of

Time: 9097.08

things um it's also clear from what you

Time: 9100.72

just said that when people regulate each

Time: 9104.439

other's nervous systems in a way where

Time: 9105.84

people are making little deposits and

Time: 9107.84

providing savings for each other or

Time: 9109.64

maybe things are just neutral that um

Time: 9113

those nervous systems are then in a

Time: 9114.319

position to like pay attention to other

Time: 9116.16

things too and and and not just try and

Time: 9117.88

work out the Dynamics oh for sure oh and

Time: 9120.64

that's very true at work so there's

Time: 9122.8

research showing that um especially in

Time: 9125.08

the creativity you know sector

Time: 9127.08

Innovation sector of the economy the

Time: 9129.76

best predictor of performance on the job

Time: 9132.88

is the extent to which people feel I

Time: 9135.24

mean after you account for sleep and and

Time: 9137.56

you know watering and sleeping and

Time: 9139.16

feeding right like the that um the best

Time: 9142

predictor is the amount of trust that

Time: 9143.76

you have in your team and in your

Time: 9147

managers because if the world is

Time: 9149

predictable it could still be things

Time: 9150.399

could be hard even when things are

Time: 9152.52

unpredictable you have people you know

Time: 9154.399

who have your back and so basically what

Time: 9157.76

you're doing is you're you're um they're

Time: 9161.319

making you know deposits or savings

Time: 9164.12

they're causing Savings in each other's

Time: 9165.72

body budgets so their their resources

Time: 9168.08

can be spent on the harder things which

Time: 9169.84

is you know failing and you know call

Time: 9172.88

having to pick yourself back up and try

Time: 9174.439

again which is you know partly what you

Time: 9176.08

do when you're an innovator so I think

Time: 9179.279

that there's also research to show that

Time: 9181

in your personal life when you do random

Time: 9184.88

acts of kindness for people or when

Time: 9186.68

you're kind in general you derive also a

Time: 9191.12

body budgeting benefit from that um you

Time: 9194.2

know so for a while had a friend who um

Time: 9198.6

we would meet each other for lunch once

Time: 9200.399

a month and you know we would take turns

Time: 9203.08

paying I mean we could both pay for

Time: 9205.64

ourselves but we kind of got a double

Time: 9207.96

hit you know he paid for me one month

Time: 9210

and then I would pay for him one month

Time: 9211.399

and then you know so we get the double

Time: 9214.08

hit of uh you know being kind to someone

Time: 9217.76

else and uh you know and also they got

Time: 9221.319

the you know benefit of someone being

Time: 9223.16

kind to them and I'll just say I think

Time: 9226.2

kindness is a I don't know that we have

Time: 9229.04

so many conversations about that in our

Time: 9231.12

culture right now but I think kindness

Time: 9233.479

is very very underrated and should be

Time: 9236.88

you know like when I'm when my when I

Time: 9238.479

feel like

Time: 9239.52

I bake bread for my

Time: 9243.8

neighbor who's in his 70s him and his

Time: 9247.04

wife that's what I do when I you know

Time: 9249.8

when I'm not feeling good and you know

Time: 9251.399

if I I mean after I've taken care of the

Time: 9253.399

physical the possible uh physical cause

Time: 9256.24

is I and then I feel great because he's

Time: 9258.68

always

Time: 9261.2

so he's always so grateful and and then

Time: 9264.359

I felt like I made his day better and

Time: 9266.479

then also he helps me in other ways like

Time: 9268.319

with my garden and stuff because he's

Time: 9270.08

just like a Master Gardener and so I

Time: 9271.84

feel like we have this relationship

Time: 9273.96

where we help each other and I know it

Time: 9277.64

sounds really sappy

Time: 9280.12

but and even though all the research

Time: 9283.2

backs up what I'm saying I it doesn't

Time: 9285.84

quite describe the feeling of when

Time: 9288.08

someone is just really happy because you

Time: 9290.8

just gave them a little surprise and

Time: 9292.56

they're you know like that's that's

Time: 9294.2

there's just some juice in that I

Time: 9296.319

think in some culture out there there's

Time: 9298.56

a word for that and someone will tell us

Time: 9300.52

I'm sure there is I'm sure there is well

Time: 9303.88

I have to say um I've thoroughly enjoyed

Time: 9308.359

this conversation oh me too I I've been

Time: 9310.84

looking forward to it for a long time

Time: 9312.64

and you've provided us with a really

Time: 9315.6

Broad

Time: 9316.52

Arc but also a deep dive into not just

Time: 9319.76

how emotions are made not just about

Time: 9321.68

affect but as you mentioned earlier you

Time: 9324.88

know really how the nervous system works

Time: 9326.92

and I I'm certain in fact that our

Time: 9329.88

audience is taking this in and realizing

Time: 9333.04

that that knowledge is incredibly

Time: 9334.64

powerful the the addition of nuance both

Time: 9337.04

to language and to sort of

Time: 9339.92

self-reflection States um as extremely

Time: 9343.8

valuable often times when one gets into

Time: 9346.04

into a conversation that has some level

Time: 9348.279

of reductionism and you get into gnomen

Time: 9350.72

clature and things like that it can

Time: 9352.08

really pull away from the the real life

Time: 9354.359

experience of something but this is

Time: 9355.68

exactly the opposite what you've done

Time: 9357.12

for us today is you've provided such a

Time: 9360.2

rich array of information that adds

Time: 9362.64

richness and depth to the real life

Time: 9364.8

experience and um and that is really

Time: 9368

invaluable so on behalf of myself and

Time: 9371.64

all the listeners and the people

Time: 9372.84

watching this I want to say thank you

Time: 9375.72

for for today's discussion thank you for

Time: 9378

the books you've written which we've

Time: 9379.76

provided links to in the show note

Time: 9381.04

captions thanks for showing up on social

Time: 9383.72

media despite the um the the the

Time: 9386.84

challenges that exist there sometimes

Time: 9388.399

you always handle yourself uh so well

Time: 9390.6

there and we'll refer people to your uh

Time: 9392.76

excellent social media accounts as well

Time: 9394.92

and and just for all the work that

Time: 9395.96

you're doing and that your laboratory

Time: 9397.439

and you're now director of various

Time: 9399.319

things and related to Ai and more and

Time: 9401.76

we'll talk about this hopefully in

Time: 9402.84

future episodes but uh just a really

Time: 9406.72

enormous thank you thank you thank you

Time: 9410.76

for joining me for today's discussion

Time: 9412.399

about the Psychology and Neuroscience of

Time: 9414.12

emotions with Dr Lisa Feldman Barrett if

Time: 9417.04

you're learning from and or enjoying

Time: 9418.56

this podcast please subscribe to our

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Time: 9434

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Time: 9439.359

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Time: 9532.24

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Time: 9534.92

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Time: 9537.24

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Time: 9542.439

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