How to Learn Skills Faster | Huberman Lab Podcast

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- Welcome to the Huberman Lab Podcast

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where we discuss science

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and science-based tools for everyday life.

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[instrumental music]

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- I'm Andrew Huberman, and I'm a professor of neurobiology

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and ophthalmology at Stanford School of Medicine.

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This podcast is separate from my teaching

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and research roles at Stanford.

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It is however, part of my desire and effort

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to bring zero cost to consumer information about science

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and science related tools to the general public.

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In keeping with that theme,

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I'd like to thank the sponsors of today's podcast.

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Our first sponsor is Belcampo Meat Company.

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Belcampo Meat Company is a regenerative farm

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in Northern California that raises organic grass fed

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and grass-finished certified humane meats.

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I eat meat about once a day.

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I'm neither pure carnivore, nor am I a vegetarian.

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Obviously I eat meat.

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The way I eat is I tend to fast until about noon

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and then I have my first meal

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which generally consists of a piece of beef.

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It's either ground beef or a steak.

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I like ribeyes, I like flat irons, these kinds of things

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and a small salad, sometimes a large salad.

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And then throughout the day, I generally am low carb

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until the evening when I eat pasta and rice

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and things of that sort.

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Eating that way is what optimizes my levels of alertness

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and optimizes my sleep.

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I've talked about this on previous podcast episodes,

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Now, because I eat meat essentially every day,

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the source of that meat is extremely important to me.

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I want it to be healthy for me

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and I want the animals that it comes from

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to be healthy and to have lived a good life.

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Conventionally raised animals are confined to feedlots

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and they eat a diet of inflammatory grains,

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which is terrible for them and it's terrible for us

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when we eat those meats.

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Belcampo's animals graze on open pastures

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and seasonal grasses, which results in meat

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that is higher in nutrients and healthy fats.

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They actually have very high levels of Omega threes

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which I've also talked about on this podcast,

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are important for mental and physical health

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for a variety of reasons.

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The way Belcampo raises its animals

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is also good for the environment.

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They practice regenerative agriculture,

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which means it's climate positive and carbon negative

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which translates to good for us and good for the planet.

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You can order Belcampo sustainably raised meats

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to be delivered straight to your door

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using my code Huberman by going to belcampo.com/huberman

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and you'll get 20% off your first time order.

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That's belcampo.com/huberman for 20% off.

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Today's podcast is also brought to us by InsideTracker.

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InsideTracker is a personalized nutrition platform

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that analyzes data from your blood and DNA

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to help you better understand your body

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and reach your health goals.

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I've long been a believer in getting blood work done

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for the simple reason that many,

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if not most of the factors that impact

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our immediate and longterm health

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can only be assessed from a blood test.

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And now with the advent of modern DNA tests,

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we can get additional information

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about our current health status and our health trajectory.

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One of major problems with blood tests and DNA tests

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available for most sources is that you get the numbers back

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and you can easily see whether or not those numbers

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are within the standard range or outside the range.

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But it's very hard to know what to do with that information.

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Also what the various factors are

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that are being measured is often very cryptic.

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as to what each of those factors relates to,

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so they give you some understanding of what those are

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and they give you ideas and suggestions

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about things that you can do with your lifestyle,

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that can serve to optimize the levels

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of those various factors and your DNA.

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which compares your chronological age

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which you already know with your biological age

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which gives you a sense of your lifespan

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or predicted lifespan.

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So that's crucially important, and you can imagine

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why many people, including me would want that information.

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that's insidetracker.com/huberman to get 25% off

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any of InsideTracker's plans and use the code Huberman

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at checkout.

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Today's episode is also brought to us by Athletic Greens.

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Athletic Greens is an all-in-one vitamin mineral

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probiotic drink.

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I've been using Athletic Greens for well over a decade now.

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I started using Athletic Greens and I still use

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Athletic Greens because I find it rather dizzying

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to know which vitamins and minerals to take.

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and the gut health generally.

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'cause that's the way I like it.

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Mix it up, it tastes delicious.

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I'll do that once or twice a day.

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it doesn't take me out of a fasting mode

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which I do early in the day.

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So most often I'll have my Athletic Greens early in the day.

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And then sometimes I'll also have another one

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I'm able to sleep after drinking it without a problem.

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There are also a lot of data supporting the fact

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that vitamin D3 is critical

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for a variety of health metrics.

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We all know that we can get vitamin D3

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from the sun, but many people including me

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were not getting enough sunlight or D3

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even if I was getting a lot of sunlight.

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I know that 'cause I had my blood levels measured of D3.

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So I use vitamin D3 every day

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That's athleticgreens.com/huberman

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to claim the special offer.

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This month on the Huberman Lab Podcast,

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we're talking all about physical performance.

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So that means athletic performance, recreational exercise,

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weightlifting, running, swimming, yoga,

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skills and skill learning.

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Today, we're going to talk about and focus

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on skill learning.

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We are going to focus on how to learn skills more quickly

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in particular motor skills.

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This will also translate to things

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like musical skills and playing instruments,

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but we're mainly going to focus on physical movements

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of the body that extend beyond the hands

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like just playing the piano or the fingers

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like playing the guitar.

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But everything we're going to talk about

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will also serve the formation and the consolidation

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and the performance of other types of skills.

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So if you're interested in how to perform better,

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whether or not it's dance or yoga

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or even something that's just very repetitive

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like running or swimming, this podcast episode is for you.

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We're going to go deep into the science of skill learning.

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And we are going to talk about very specific protocols

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that the science points to and has verified,

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allow you to learn more quickly to embed that learning

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so that you remember it and to be able to build up skills

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more quickly than you would otherwise.

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We are also going to touch on a few things

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that I get asked about a lot, but fortunately recently

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I've had the time to go deep into the literature,

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extract the data for you and that's mental visualization.

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How does visualizing a particular skill or practice

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serve the learning and or the consolidation

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of that practice.

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It turns out there are some absolutely striking protocols

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that one can use, striking meaning they allow you

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to learn faster and they allow you to remember

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how to do things more quickly and better

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than if you were not doing this mental rehearsal.

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But the pattern of mental rehearsal

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and when you do that mental rehearsal

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turns out to be vitally important.

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So I'm excited for today's episode.

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We're going to share a lot of information with you

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and they're going to be a lot of very simple takeaways.

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So let's get started.

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Before we get into the topic of skill learning

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and tools for accelerating skill learning,

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I want to briefly revisit the topic of temperature

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which was covered in the last episode

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and just highlight a few things and clear up

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some misunderstandings.

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So last episode talked about these incredible data

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from my colleague, Craig Heller's lab at Stanford.

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He's in the department of biology,

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showing that cooling the palms in particular ways

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and at particular times can allow athletes

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or just recreational exercisers to do more pull-ups,

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dips, bench presses per unit time, to run further,

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to cycle further and to feel better doing it.

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There really are incredible data that are anchored

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in the biology of the vascular system, the blood supply

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and how it's involved in cooling us.

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Many of you, dozens of you in fact said,

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"Wait a second, you gave us a protocol in this episode

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"which says that we should cool our palms periodically

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"throughout exercise in order to be able to do more work.

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"But on the episode, before that on growth hormone

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"and thyroid hormone, you said that heating up the body

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"is good for release of growth hormone."

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And I just want to clarify that both things are true.

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These are two separate protocols.

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You should always warm up before you exercise.

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That warmup will not increase your body temperature

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or the muscle temperature to the point

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where it's going to diminish your work capacity,

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that it's going to harm your performance.

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The cooling of the palms, which is really just a route

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to cool your core in an efficient way,

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the most efficient way, in fact

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is about improving performance.

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Heating up the body with exercise

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and focusing on heat increases or using sauna

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for heat increases is geared toward growth hormone release,

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which is a separate matter.

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So you can do both of these protocols

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but you would want to do them at separate times.

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So just to make this very concrete

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before I move on to today's topic.

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If you're interested in doing more work,

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being able to do more sets and reps per unit time

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and feel better doing it or to run further

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or to cycle further, then cooling the palms periodically

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as I described in the previous episode

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is going to be the way to go.

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If you're interested in getting growth hormone release,

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well then hot sauna.

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And I offered some other tools if you don't have a sauna

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in the episode on growth hormone and thyroid hormone

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is going to be the way to go.

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So those are separate protocols.

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You can include them in your fitness regime

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and your training regime, but you do want to do them

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at separate times.

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And as a last point about this,

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I also mentioned that caffeine can either help

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or hinder performance depending on whether or not

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you're caffeine adapted because of the ways

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that caffeine impacts body temperature

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and all sorts of things like vasodilation and constriction.

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It's very simple.

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If you enjoy caffeine before your workouts

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and you're accustomed to caffeine, meaning you drink it

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three or five times or more a week.

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100 to 300 milligrams this is a typical daily dose

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of caffeine.

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Some of you are ingesting more, some less.

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If you do that regularly,

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well, then it's going to be just fine to ingest caffeine

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before you train.

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It's not going to impact your body temperature

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and your vasodilation or constriction

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in ways that will hinder you.

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However, if you're not a regular caffeine user

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and you're thinking, "Oh, I'm going to drink a cup of coffee

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"and get this huge performance enhancing effect."

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Well, that's not going to happen.

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Chances are it's going to lead to increases

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in body temperature and changes in the way that blood flow

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is happening in your body, and in particular

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on these palmer surfaces and in your face

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that is going to likely diminish performance.

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So if you enjoy caffeine and you're accustomed to it,

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so-called caffeine adapted, enjoy it before your training.

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If you regularly, excuse me, if you do not regularly

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use caffeine, then you probably do not want to view caffeine

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as a performance enhancing tool.

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And while we're on the topic of tools

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and because this is a month on athletic performance

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and exercise and physical skill learning,

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I want to offer an additional tool

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that I've certainly found useful, which is how to relieve

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the so-called side stitch or side cramp

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when running or swimming.

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This actually relates to respiration

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and to the nervous system and it is not a cramp.

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If you've ever been out running and you felt like

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you had a pain on your side,

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that pain could be any number of things,

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but what feels like cramping of your side

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is actually due to what's called collateralization

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of the phrenic nerve which is a lot harder to say

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than a side cramp or a side stitch.

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But here's the situation.

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You have a set of nerves, which is called the phrenic nerve

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P-H-R-E-N-I-C.

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The phrenic nerve, which extends down from your brainstem

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essentially, this region to your diaphragm

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to control your breathing.

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It has a collateral, meaning it has a branch

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just like the branch on a tree that innovates your liver.

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And if you are not breathing deeply enough,

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what can happen is you can get what's called sometimes

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a referenced pain.

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Reference pain is probably going to be familiar

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to any of you have ever read

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about how to recognize heart attack.

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People have heart attacks will sometimes have pain

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on one side of their body, the left arm,

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sometimes people that have pain in a part of their back

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or suddenly also get pain in their shoulder

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or part of their face.

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This has to do with the fact that many of our nerves branch,

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meaning they're collateralized

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to different organs and areas of the body.

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And the way those nerves are woven together,

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it's often the case that if we disrupt the pattern

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of firing of electrical activity

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in one of those nerve branches

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that the other ones are affected too.

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The side stitch, the pain in your side as often

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because of the contractions of the diaphragm

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because of the way you're breathing while you're exercising,

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running, or swimming or biking.

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And as a consequence, you feel pain in your side

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but that's not a cramp.

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The way to relieve it is very simple.

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You do the physiological side that I've talked about

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in previous episodes of the podcast and elsewhere

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which has a double inhale through the nose,

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very deep and then a long exhale.

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And you might want to repeat that two or three times.

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Typically that will relieve the side stitch

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because of the way that it changes the firing patterns

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of the phrenic nerve.

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So the side stitch is annoying, it's painful,

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sometimes we think we're dehydrated

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and you might be dehydrated.

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But oftentimes it's just that we're breathing

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in a way that causes some referenced pain of the liver.

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We call it a side stitch or a side cramp,

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and you can relieve it very easily

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through the double inhale, long exhale.

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That pattern done two or three times,

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often you can continue to engage in the exercise

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while you do the double inhale exhale,

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and it will just relieve itself that way.

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So give it a try if you experience the side stitch.

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Some people I know are also doing the double inhale,

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long exhale during long continuous bouts of exercise.

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I actually do this when I run.

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We have decent data although these are still

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unpublished data that that can engage

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a kind of regular cadence of heart rate variability.

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So there are a number of reasons why this physiological side

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can be useful, but it certainly can be useful

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for relieving the side stitch or so-called side cramp.

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Let's talk about the acquisition of new skills.

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These could be skills such as a golf swing or a tennis swing

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or you're shooting free throws or you're learning to dance

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or you're learning an instrument.

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I'm mainly going to focus on athletic performance.

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There are basically two types of skills.

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Open loop and closed loop.

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Open loop skills are skills where you perform

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some sort of motor action and then you wait

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and you get immediate feedback

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as to whether or not it was done correctly or not.

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A good example will be throwing darts at a dartboard.

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So if you throw the dart, you get feedback

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about whether or not you hit the bullseye,

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you're off the dart board, or you're some other location

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on the dart board, that's open loop.

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Closed loop would be something that's more continuous.

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So let's say you're a runner and you're starting

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to do some speed work and some sprints.

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And you're running and you can kind of feel

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whether or not you're running correctly,

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or maybe even have a coach and they're correcting

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your stride or you're trying to do some sort of skill,

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like a hopscotch skill, which maybe you're doing

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the ladder work where you're stepping

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between designated spaces on the ground.

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That's closed loop because as you go,

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you can adjust your behavior and you can adjust the distance

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of your steps, or you can adjust your speed

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or you can adjust your posture and you are able

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to essentially do more practice per unit time

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but you're getting feedback on a moment to moment basis.

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So you have open loop and closed loop.

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And just to make this very clear,

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open loop would be practicing your tennis serve.

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So let's say that you set a target

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on the other side of the net.

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You throw the ball up and you hit the ball,

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it goes over that's open-loop.

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You'll know whether or not you were in the court,

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you were on the location you wanted to hit

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or close to it or not, that's open loop.

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Closed loop would be if you're in a regular can.

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So maybe you're learning a swim stroke,

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or maybe you're trying to learn a particular rhythm

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on the drum.

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So maybe you're trying to learn a particular beat.

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I'm not very musical, so I'm not going to embarrass myself

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by giving an example of this, although later I will,

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where you're trying to get a particular rhythm down.

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And if you're not getting it, you can adjust in real time

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and try and catch up or slow down or speed up, et cetera.

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So hopefully you'll understand open loop and closed loop.

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You should always know before you try and learn a skill,

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whether or not it's open loop or closed loop

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and I'll return to why that's important shortly.

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But if you want to learn something,

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ask is it open loop or closed loop.

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There are essentially three components of any skill

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that involves motor movement.

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And those are sensory perception, actually perceiving

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what you are doing and what's happening around you.

Time: 1144.18

So what you see, what you hear,

Time: 1146.44

sometimes you're paying attention to what you're doing

Time: 1148.48

specifically like the trajectory of your arm

Time: 1150.96

or how you're moving your feet.

Time: 1152.33

If you're learning to dance, sometimes you're more focused

Time: 1154.7

on something that's happening outside of you,

Time: 1156.6

like you're listening for something in music

Time: 1158.84

or you're paying attention

Time: 1159.75

to the way your partner is moving, et cetera.

Time: 1162.22

So there's sensory input.

Time: 1164.28

Then there are the actual movements.

Time: 1166.5

So they're the movements of your limbs and body.

Time: 1169.36

And then there's something called proprioception

Time: 1171.95

and proprioception is often discussed

Time: 1175.42

as kind of a sixth sense of knowing where your limbs are

Time: 1180.11

in relation to your body.

Time: 1182.14

So proprioception is vitally important.

Time: 1185.15

If I reached down and pick up this pen and pick it up,

Time: 1187.21

I'm not thinking about where the pen in my hand is

Time: 1190.02

relative to my body, but proprioceptively, I'm aware of it

Time: 1195.02

at kind of a six sense deeper subconscious level.

Time: 1198.15

I can also make myself aware of where my limbs are.

Time: 1202.28

And typically when we learn, we are placing more focus

Time: 1207.13

on proprioception than we do ordinarily.

Time: 1210

So if I get up from this chair and I happen to walk

Time: 1212.5

out of the room, I don't think about where my feet

Time: 1214.87

are landing relative to one another.

Time: 1216.86

But if my leg had fallen asleep

Time: 1219.43

because I had been leaning on one of the nerves of my leg

Time: 1223.09

or something like that, and my leg feels all tingly or numb.

Time: 1227.68

I and you, if this were to happen to you,

Time: 1230.35

would immediately notice a shift in gait.

Time: 1231.98

It would feel strange, I'd have to pay attention

Time: 1233.6

to how I'm stepping.

Time: 1234.46

And the reason is I'm not getting

Time: 1236.416

any proprioceptive feedback.

Time: 1238.18

Now, skill learning has a lot of other dimensions too,

Time: 1241.8

but those are the main ones that we're going to focus on.

Time: 1244.42

So just to remind you, you need to know open loop

Time: 1246.76

or closed loop and you need to know whether or not,

Time: 1249.23

excuse me, you need to know that there's sensory perception

Time: 1252.52

what you're paying attention to,

Time: 1255.33

movements themselves and proprioception.

Time: 1258.51

And there's one other important thing that you need to know

Time: 1262.42

which is that movement of any kind is generated

Time: 1265.66

from one, two or three sources within your nervous system,

Time: 1269.73

within your brain and body.

Time: 1271.91

These are central pattern generators

Time: 1275.52

which are sometimes called CSPGs, excuse me, CPGSs,

Time: 1280.722

CSPGs are something entirely different in biology.

Time: 1284.28

CPGSs, this just goes to show that I have a module.

Time: 1287.99

CSPGs are chondroid and sulfate proteoglycans.

Time: 1290.23

They have nothing to do with this topic.

Time: 1291.88

CPGSs are central pattern generators or CPGs,

Time: 1296.84

they're sometimes called.

Time: 1298.37

These CPGs are in your spinal cord, mine and yours,

Time: 1303.4

different ones and they generate repetitive movements.

Time: 1307

So if you're walking, if you're running, if you're cycling,

Time: 1311.07

if you're breathing, which presumably you are

Time: 1313.34

and you're doing that in a regular rhythmic cadence,

Time: 1316.7

central pattern generators are controlling that movement.

Time: 1319.81

After you learn how to walk, run, swim, cycle,

Time: 1323.54

do anything really, much of the work is handed off

Time: 1327.23

to the central pattern generators.

Time: 1329.65

And there were experiments that were done

Time: 1332.54

in the 60s, 70s and 80s that actually looked

Time: 1335.7

at decerebrate animals and even decerebrate humans.

Time: 1340.86

These are humans and animals that lack a cerebral cortex.

Time: 1344.65

They lack much of the brain and yet they can engage

Time: 1348.31

in what's called a fictive movement.

Time: 1350.66

So it sounds like a kind of barbaric experiment.

Time: 1352.73

I'm glad I wasn't the one to have to do them

Time: 1355.117

but this is the stuff of neuroscience textbooks

Time: 1356.62

that cats or dogs or mice that have their neocortex removed

Time: 1362.39

put them on a treadmill, they'll walk just fine.

Time: 1364.57

And they will adjust their speed of walking just fine

Time: 1367.82

even though they basically lack all their thinking

Time: 1370.25

and decision-making brain.

Time: 1371.597

And it turns out humans that have,

Time: 1373.96

unfortunately, massive strokes to their cortex

Time: 1376.75

and lack any neocortex but preserve

Time: 1380.17

the central pattern generators will also walk just fine,

Time: 1384.57

even though they lack any of the other stuff in the brain.

Time: 1387.89

So these CPGs or CPGSs are amazing,

Time: 1392.29

and they control a lot of our already learned behavior.

Time: 1396

When you're really good at something,

Time: 1397.93

CPGs are controlling a lot of that behavior.

Time: 1402.798

And that's true also for a golf swing.

Time: 1404.76

Even if it's not really repetitive,

Time: 1406.7

somebody who's really good at golf it's going to,

Time: 1408.83

I guess you call it a T.

Time: 1410.55

You put the ball on the T.

Time: 1411.57

I show with my knowledge of golf.

Time: 1412.75

I've only done mini golf, frankly,

Time: 1416.618

but someday maybe I'll learn how to golf,

Time: 1417.75

but you set the golf ball down and swing,

Time: 1419.49

set the golf ball down, swing.

Time: 1421.92

Central pattern generators are going to handle

Time: 1423.78

a lot of that.

Time: 1424.87

If I were to go to the golf course.

Time: 1427.58

Stanford has a beautiful golf course.

Time: 1429

If I were to go out there and put a ball on the T,

Time: 1430.88

my central pattern generators would not be involved

Time: 1432.9

in that at all.

Time: 1434.28

The moment I bring the club back to swing,

Time: 1438.46

it's going to engage other things.

Time: 1440.86

And the other things that's going to engage

Time: 1442.67

because I don't know that behavior now or then

Time: 1446.17

is upper motor neurons.

Time: 1448.53

We have motor neurons in our cortex,

Time: 1451.56

in our neocortex that control deliberate action.

Time: 1455.27

And those are the ones that you're engaging

Time: 1457.52

when you are learning.

Time: 1459.2

Those are the ones that you have to pay attention

Time: 1463.41

in order to engage.

Time: 1465.12

And that's what's happening, for instance,

Time: 1466.35

if I decide I'm going to reach down and pick up my pen,

Time: 1469.194

which I rarely think about, but now I'm thinking about it

Time: 1471.181

and I'm going to do this in a very deliberate way.

Time: 1472.014

I'm going to grab with these two fingers and lift.

Time: 1473.72

My upper motor neurons are now involved.

Time: 1476.907

So upper motor neurons are very important

Time: 1479.34

because a little bit later in the episode

Time: 1481.49

when we talk about how to use visualization

Time: 1484.4

in order to accelerate skill learning,

Time: 1487.05

it's going to leverage these upper motor neurons

Time: 1490.51

in very particular ways.

Time: 1492.1

So we have CPGs for rhythmic movement,

Time: 1493.77

upper motor neurons for deliberate unlearned movements

Time: 1496.85

or movements that we are in the process of learning.

Time: 1499.73

And then we have what are called lower motor neurons.

Time: 1502.49

Lower motor neurons are the ones in our spinal cord

Time: 1505

that send little wires out to our muscles

Time: 1506.84

which actually caused the firing of those muscle fibers.

Time: 1510.92

So the way to think about this as you've got

Time: 1512.91

upper motor neurons which talk to CPGs

Time: 1515.43

and the lower motor neurons.

Time: 1516.64

So it's really simple.

Time: 1518.08

And now, you know most everything there is to know

Time: 1521.34

about the neural pathways controlling movement,

Time: 1524.33

at least for sake of this discussion.

Time: 1527.259

So anytime we learn something, we have to decide

Time: 1529.94

what to place our sensory perception on,

Time: 1532.94

meaning what are we going to focus on.

Time: 1535.36

That's critical if you're listening to this

Time: 1537.03

and you're the type of person who likes taking notes,

Time: 1539.45

this should be the second question you ask.

Time: 1541.68

Remember the first question is, is it open loop

Time: 1543.81

or closed loop?

Time: 1545.04

The second question should be,

Time: 1547.79

what should I focus my attention on, auditory attention,

Time: 1551.15

visual attention or proprioception.

Time: 1554.25

Should I focus on where my limbs are relative to my body

Time: 1557.38

or should I focus on the outcome?

Time: 1559.82

This is a critical distinction.

Time: 1561.64

You can decide to learn how to do a golf swing

Time: 1564.01

or learn how to shoot free throws

Time: 1565.69

or learn how to dance tango

Time: 1567.901

and decide that you are going to focus

Time: 1569.16

on the movements of your partner

Time: 1572.81

or the positions of your feet.

Time: 1574.38

You maybe are going to look at them,

Time: 1576.15

maybe you're going to sense them.

Time: 1577.94

You're going to actually feel where they are,

Time: 1580.98

or maybe you're going to sense the position

Time: 1583.23

and posture of your body, which is more proprioception.

Time: 1586.17

So you have to allocate your attention.

Time: 1588.22

And I'm going to tell you how to allocate your attention

Time: 1590.49

best in order to learn faster.

Time: 1592.5

So these are the sorts of decisions that you have to make.

Time: 1595.76

Fortunately for you, you don't have to think

Time: 1597.64

about whether or not you're going to use

Time: 1598.73

your upper motor neurons and your lower motor neurons

Time: 1602.09

or not, because if you don't know how to do something,

Time: 1604.734

you're automatically going to engage

Time: 1605.567

your upper motor neurons.

Time: 1606.41

And if you do, then you're not going to use

Time: 1610.44

your upper motor neurons.

Time: 1611.31

You're mainly going to rely on central pattern generators.

Time: 1613.84

You are always using your lower motor neurons

Time: 1616.98

to move muscle.

Time: 1618.13

So we can really simplify things now.

Time: 1619.79

I've given you a lot of information but we can simplify it.

Time: 1622.27

Basically open loop or closed loop, that's one question

Time: 1625.4

and what am I going to focus on?

Time: 1627.16

And then your neurology will take care of the rest.

Time: 1629.84

So now I want to talk about realistic expectations.

Time: 1634.71

Somewhere in Hollywood presumably,

Time: 1638.49

it got embedded in somebody's mind

Time: 1640.91

that instant skill acquisition was possible,

Time: 1644.44

that you could take a particular pill

Time: 1646.49

or you could touch a particular object

Time: 1649.14

or you could have a wand wave over you

Time: 1651.85

and you would suddenly have a skill.

Time: 1654.66

And so that is the result of Hollywood at all.

Time: 1660.54

It doesn't exist, at least not in reality.

Time: 1663.69

And I love movies, but it simply doesn't exist.

Time: 1667.04

Then the self-help literature created another rule

Time: 1671.66

called the 10,000 hours rule.

Time: 1674.31

And frankly, that doesn't really match the literature,

Time: 1677.93

at least the scientific literature either.

Time: 1681.12

I like it because it implies that learning takes time,

Time: 1684.89

which is more accurate than the Hollywood at all

Time: 1688.63

instant skill acquisition rule,

Time: 1692

which isn't really a rule, it's a myth.

Time: 1694.71

But the 10,000 hours rule overlook something crucial,

Time: 1698.52

which is that it's not about hours,

Time: 1702.62

it's about repetitions.

Time: 1704.41

Now, of course there's a relationship between time

Time: 1707.86

and repetitions, but there are some beautiful experiments

Time: 1711.86

that point to the fact that by simple adjustment

Time: 1717.21

of what you are focused on as you attempt to learn

Time: 1720.8

a new skill, you can adjust the number of repetitions

Time: 1724.59

that you do, you adjust your motivation for learning

Time: 1727.84

and you can vastly accelerate learning.

Time: 1731.64

Some of you may recognize this by its internet name,

Time: 1735.27

which is not a scientific term,

Time: 1736.95

which is the super Mario effect.

Time: 1739.22

There's actually a quite good video on YouTube

Time: 1742.06

describing the super Mario effect.

Time: 1743.75

I think it was a YouTuber who has I think a background

Time: 1746.96

in science and he did an interesting experiment.

Time: 1751.07

And I'll talk about his experiment first

Time: 1753.77

and then I will talk about the neurobiology

Time: 1756.75

that supports the result that he got.

Time: 1760.22

The super Mario effect relates to the game

Time: 1763.1

super Mario brothers, but you'll see why at the end.

Time: 1766.17

But basically what they did was they had 50,000 subjects,

Time: 1770.81

which is a enormous number of subjects learn a program,

Time: 1776.37

essentially taking words from a computer program

Time: 1779.24

or the commands for a computer program

Time: 1781.74

that were kind of clustered in a column on the right.

Time: 1785.01

So these are the sorts of things that computer programmers

Time: 1787.64

will be familiar with but other people won't.

Time: 1790.78

And those commands are essentially,

Time: 1793.12

they essentially translate to things like go forward.

Time: 1796.43

And then if it's a right hand turn in the maze,

Time: 1798.54

then go right and continue until you hit a choice point,

Time: 1802.42

et cetera.

Time: 1803.725

So it's a bunch of instructions, but the job of the subjects

Time: 1805.94

in these experiments were to organize those instructions

Time: 1808.38

in a particular way that would allow a little cursor

Time: 1811.27

to move through the main successfully.

Time: 1813.74

So basically the goal was, or at least what the subjects

Time: 1816.44

were told is that anyone can learn to computer program.

Time: 1820.12

And if somebody can just organize the instructions

Time: 1823.86

in the right way, then they can program

Time: 1826.21

this little cursor to move through amaze, very simple.

Time: 1830.48

And yet, if you don't have any background

Time: 1832.79

in computer programming, or even if you do,

Time: 1834.8

it takes some skill.

Time: 1836.09

You have to know what commands to give

Time: 1837.74

in what particular order.

Time: 1838.75

And they made that very easy.

Time: 1839.81

You could just assemble them in a list

Time: 1841.7

over onto the right.

Time: 1844.06

So people started doing this.

Time: 1845.72

Now there were two groups and some one half of the subjects,

Time: 1851.68

if they got it wrong, meaning they entered a command

Time: 1856.15

and the cursor would move and it was the wrong command

Time: 1860.96

for this little cursor to move through the maze,

Time: 1864.03

they saw a signal jump up on their screen that said,

Time: 1869.55

that did not work, please try again.

Time: 1872.64

That's it, if they put in the wrong command

Time: 1874.68

or is in the wrong sequence, it'll say that did not work

Time: 1876.56

please try again.

Time: 1877.994

And then the subjects would reorganize the instructions

Time: 1880.41

and then the little cursor would continue.

Time: 1881.82

And if they got it wrong again,

Time: 1883.6

it would say that does not work, please try again.

Time: 1886.24

The other half of the subjects, if they got something wrong

Time: 1890.2

were told you just lost five points, please continue.

Time: 1896.07

So, that's the only difference in the feedback

Time: 1898.43

that they got.

Time: 1899.93

Now I have to confess, I would have predicted

Time: 1903.77

based on my knowledge of dopamine circuitry

Time: 1907.02

and reward contingency and epinephrin and stress

Time: 1912.17

and motivated learning.

Time: 1913.41

And this other thing that we've been told

Time: 1915.75

in many many books on behavioral economics

Time: 1918.86

and in the self-help literature,

Time: 1920.14

which is that people will work much harder

Time: 1922.78

to prevent losing something than they will

Time: 1926.24

to gain something, that you hear all the time.

Time: 1929.39

And it turns out that that's not at all what happened.

Time: 1933.11

If they looked at the success rate of the subjects,

Time: 1937.73

what they found was that the subjects that were told

Time: 1940.93

that did not work, please try again, had a 68% success rate.

Time: 1946.98

68% of them went on to successfully program this cursor

Time: 1950.33

moving through the maze.

Time: 1952

Whereas the ones that were told you lost five points

Time: 1955.54

had a 52% success rate, which is a significant difference.

Time: 1960.5

But the source of the success or the lack of success

Time: 1965.14

is really interesting.

Time: 1967.07

The subjects that were told that did not work,

Time: 1969.76

please try again, tried many, many more times per unit time.

Time: 1975.8

In other words, they made more attempts at programming

Time: 1978.57

this thing to allow this cursor to move through the maze.

Time: 1981.35

Whereas the people that were told you lost five points

Time: 1984

gave up earlier or gave up entirely.

Time: 1987.19

Okay, so let's just step back from this

Time: 1989.43

because to me, this was very surprising.

Time: 1992.17

It violates a lot of things that I'd heard

Time: 1994.24

in the kind of popular culture or the self-help literature

Time: 1998.08

that people will work much harder to avoid losing something

Time: 2000.9

than they will to gain something.

Time: 2002.59

And it didn't really fit with what I understood

Time: 2005.43

about reward contingencies and dopamine,

Time: 2009

but it did fit well with another set of experiments

Time: 2011.55

that I'm very familiar with

Time: 2012.81

from the neuroscience literature.

Time: 2014.67

And I'll give you the punchline first.

Time: 2016.36

And then we're going to take what these data mean

Time: 2018.45

and we're going to talk about a learning protocol

Time: 2021.39

that you can use that will allow you to learn skills faster

Time: 2025.11

by willingly participating in more repetitions

Time: 2029.49

of the skill learning, meaning you will want

Time: 2031.56

to do more repetitions even if you're getting it wrong

Time: 2035.37

some or most of the time.

Time: 2037.79

So the experiment that I want to tell you about

Time: 2040.35

is called the tube test.

Time: 2041.85

And this is generally done in mice,

Time: 2043.98

although it's sometimes been done in rats

Time: 2045.56

and it has a lot of parallels to some things

Time: 2047.51

that you've probably seen and experienced even

Time: 2052.23

in human life, in regular life, maybe even in your life.

Time: 2056.24

So here's the experiment.

Time: 2058.01

You take two rats, you put them in a tube or two mice,

Time: 2060.82

you put them in a tube.

Time: 2062.16

And mice and rats, they don't like to share the same tube.

Time: 2065.82

So what they'll do is they'll start pushing each other

Time: 2068.55

back and forth, back and forth.

Time: 2070.57

Sooner or later, one of the rats or mice

Time: 2072.73

pushes the other one out.

Time: 2074.83

The one that got pushed out is the loser,

Time: 2076.38

the one that gets the tube is the winner.

Time: 2080.03

Now you take the winner, you give it a new competitor.

Time: 2084.14

And what you find is that the mouse or rat

Time: 2088.05

that won previously has a much higher

Time: 2091.56

than chance probability of winning the second time.

Time: 2095.75

In other words, winning before leads to winning again.

Time: 2100.61

And the reverse is also true.

Time: 2101.93

If you take the loser and you put that loser in

Time: 2104.86

with another mouse, fresh mouse, new mouse,

Time: 2108.99

the loser typically will lose at much greater probability

Time: 2112.43

than chance.

Time: 2113.263

And this is not related to differences in strength or size

Time: 2116.57

or testosterone or any other things

Time: 2118.67

that might leap to mind as explanations for this

Time: 2121.13

because those were all controlled for.

Time: 2123.51

Now that results have been known about for decades.

Time: 2127.65

But three years ago, there was a paper published

Time: 2130.55

in the Journal Science, phenomenal journal.

Time: 2132.53

It's one of the three apex journals,

Time: 2135.09

that examined the brain area that's involved in this.

Time: 2137.55

Turns out a particular area of the frontal cortex

Time: 2140.45

for those of you that want to know.

Time: 2141.78

And they did a simple experiment where the experimenters

Time: 2145.12

increased or decreased the activity of this brain area

Time: 2148.56

in the prefrontal cortex,

Time: 2149.58

little sub region of the prefrontal cortex.

Time: 2151.13

And what they found is if they stimulated this brain area,

Time: 2155.25

a mouse or rat, regardless of whether or not

Time: 2158.11

it had been a winner or loser before,

Time: 2160.13

became a winner every single time.

Time: 2163.43

And they showed that if they blocked the activity

Time: 2166.76

of this brain area, regardless of whether or not

Time: 2169.75

the mouse or rat had been a winner or loser,

Time: 2171.78

it became a loser every single time.

Time: 2174.721

And this translated to other scenarios,

Time: 2176.66

other competitive scenarios where they'd put a bunch of mice

Time: 2180.5

or rats in a kind of cool chamber,

Time: 2183.49

they'd have a little heat lamp in the corner

Time: 2185.1

and mice like heat.

Time: 2187.067

And there was only enough space for one mouse

Time: 2188.38

to be under the heat.

Time: 2190.34

And the one that had won in the tube test

Time: 2192.37

or that had the brain area stimulated

Time: 2193.96

always got the nice warm spot.

Time: 2197.36

So what is this magic brain area, what is it doing?

Time: 2200.44

Well, the reason I'm bringing this up today

Time: 2202.4

and the reason I'm bringing it up on the heels

Time: 2204.4

of the super Mario effect is that stimulation

Time: 2207.35

of this brain area had a very simple

Time: 2211.31

and very important effect,

Time: 2212.95

which was, it led to more forward steps, more repetitions,

Time: 2217.37

more effort, but not in terms of sheer might and will,

Time: 2221.53

not digging deeper, just more repetitions per unit time.

Time: 2226.518

And the losers had fewer repetitions per unit time.

Time: 2229.81

So the super Mario effect, this online experiment

Time: 2233.41

and the tube test, which has been done

Time: 2235.24

by various labs and repeated again and again

Time: 2237.86

point to a simple but very important rule,

Time: 2241.23

which is neither the 10,000 hours rule

Time: 2243.59

nor the magic wand Hollywood version of learning.

Time: 2246.9

But rather the neuro-biological explanation

Time: 2249.51

for learning a skill is you want to perform

Time: 2253.31

as many repetitions per unit time, as you possibly can.

Time: 2258.8

At least when you're first trying to learn a skill.

Time: 2261.81

I want to repeat that, you want to perform as many repetitions

Time: 2265.12

as you possibly can at least when you're first trying

Time: 2268.38

to learn a skill.

Time: 2270.56

Now that might sound like a duh, it just more reps,

Time: 2273.68

but it's not so obvious.

Time: 2276.09

There's no reason why more repetitions

Time: 2278.4

should necessarily lead to faster learning

Time: 2281.98

because you could also say, well, more repetitions,

Time: 2283.94

you can make more errors

Time: 2285.15

and those errors would lead to poor performance

Time: 2287.63

like misstepping a number of times.

Time: 2289.92

And in these cases, there's very little feedback.

Time: 2293.63

It's not like every time the rat pushes forward

Time: 2297.78

or moves back that it is sensing,

Time: 2300.01

oh I'm winning, I'm losing, I'm winning, I'm losing

Time: 2301.83

on a micro level.

Time: 2303.478

It probably does that as it starts to push the other one out

Time: 2304.9

the rat or mouse probably thinks, "I'm winning."

Time: 2306.73

And as it's backing up, it probably thinks, "I'm losing."

Time: 2309.54

As you play the game, the super Mario game,

Time: 2312.86

you are told, nope, that didn't work.

Time: 2315.08

Nope, that didn't work, please try again.

Time: 2318.89

But the important thing is that the winners

Time: 2322.54

are always generating more repetitions per unit time.

Time: 2326.49

It's just a repeat of performance, repeat of performance

Time: 2329.78

even if there are errors.

Time: 2331.17

And that points to something vitally important,

Time: 2334.08

which is reps are important but making error reps

Time: 2340.03

is also important.

Time: 2341.31

In fact, it might be the most important factor.

Time: 2344.782

So let's talk about errors and why those solve the problem

Time: 2348.06

of what to focus on.

Time: 2349.94

Because as I said earlier, if you want to learn something,

Time: 2352.78

you need to know if it's open loop or closed loop

Time: 2355.33

and you need to know what to focus on,

Time: 2357.4

where to place your perception.

Time: 2359.05

And that seems like a tough task

Time: 2361.13

but errors will tell you exactly what to focus on.

Time: 2364.58

So let's talk about errors and why you can leverage errors

Time: 2367.65

to accelerate skill learning.

Time: 2369.63

Okay, so we've established that performing

Time: 2371.64

the maximum number of repetitions per training session

Time: 2375.66

is going to be advantageous.

Time: 2377.68

And that might seem obvious but there's a shadowy side

Time: 2382.06

to that, which is, well why would I want to just repeat

Time: 2385.65

the same thing over and over again if I'm getting it wrong,

Time: 2388.505

90% of the time.

Time: 2390.085

And the reason is that the errors actually cue

Time: 2392.09

your nervous system to two things;

Time: 2395.18

one to error correction and the other is it opens the door

Time: 2400.82

or the window for neuroplasticity.

Time: 2402.94

Neuroplasticity is the brain and nervous system's ability

Time: 2406.28

to change in response to experience,

Time: 2408.63

essentially to custom modify itself

Time: 2411.48

in order to perform anything better.

Time: 2413.94

We did an entire month on neuroplasticity

Time: 2416.49

and I talked a little bit about errors

Time: 2417.68

and why they're important.

Time: 2419.1

Now we're going to make this very concrete

Time: 2421.4

and operationalize it, make it very actionable.

Time: 2424.64

There was a paper that was published in 2021

Time: 2427.92

from Norman at all.

Time: 2429.62

This is a very important paper.

Time: 2432.05

It was published in the Journal Neuron

Time: 2433.55

which is a cell press journal, excellent journal.

Time: 2436.56

The title of the paper gives it away essentially,

Time: 2439.42

which is post error recruitment of frontal sensory

Time: 2442.54

cortical projections promotes attention.

Time: 2445.54

Now, what that says is that when you make an error,

Time: 2451.53

it causes an activation of the brain areas

Time: 2454.66

that anchor your attention.

Time: 2456.74

Remember we need perception, attention,

Time: 2459.97

which they're essentially the same thing.

Time: 2461.27

We need proprioception and we need the upper

Time: 2463.41

and lower motor neurons to communicate in the proper ways.

Time: 2466.77

And this vital question is what to pay attention to.

Time: 2469.84

Errors tell your nervous system

Time: 2472.09

that something needs to change.

Time: 2473.99

So if you are performing a task or a skill

Time: 2477.02

like you're learning how to dance and you're stepping

Time: 2479.544

on the other person's toes or you're fumbling

Time: 2480.75

or you're not getting it right,

Time: 2482.29

those errors are opening the possibility for plasticity.

Time: 2485.38

If you walk away at that point,

Time: 2487.301

you've made the exact wrong choice.

Time: 2490.82

Unless the errors are somehow hazardous to your health

Time: 2493.34

or somebody else's wellbeing, you want to continue

Time: 2496.8

to engage at a high repetition rate.

Time: 2499.28

That's really where the learning is possible.

Time: 2501.73

Without errors, the brain is not in a position

Time: 2505.75

to change itself.

Time: 2507.22

Errors actually cue the frontal cortex networks,

Time: 2511.23

what we call top-down processing and the neuromodulators,

Time: 2514.48

things like dopamine and acetylcholine and epinephrin

Time: 2517.19

that will allow for plasticity.

Time: 2520.01

So while the super Mario experiment,

Time: 2521.82

the maze experiment was only focused on generating errors,

Time: 2525.16

telling people that wasn't right, please try again

Time: 2527.06

or that wasn't right, you lost five points.

Time: 2529.82

The key distinction is that the errors themselves

Time: 2533.78

cued people to the fact that they needed

Time: 2535.44

to change something.

Time: 2537.18

So if you're trying to learn a new skill

Time: 2540.09

and you're screwing up and you're making mistakes,

Time: 2542.48

the more mistakes you make, the more plastic

Time: 2544.94

your brain becomes such that when you get it right,

Time: 2548.84

that correct pattern will be rewarded and consolidated.

Time: 2553.52

And you can trust that it will

Time: 2555.39

because the performance of something correctly

Time: 2557.86

is associated with the release

Time: 2559.71

of this neuromodulator dopamine.

Time: 2561.61

Dopamine is involved in craving and motivation.

Time: 2564.63

It's involved in a lot of things,

Time: 2565.82

but it's also involved in learning.

Time: 2569.13

We will do an entire episode on dopamine and learning

Time: 2572.01

but because some of you are probably wondering,

Time: 2574.88

this does not mean that just increasing your dopamine levels

Time: 2577.55

before learning will allow you to learn faster.

Time: 2579.83

In fact, increasing your dopamine levels before learning

Time: 2583.66

using pharmacology will actually reduce

Time: 2586.41

what's called the signal to noise.

Time: 2587.93

It will make these increases in dopamine

Time: 2590.4

that pop up in your brain that suddenly make you realize,

Time: 2593.127

"Oh, I got that one right."

Time: 2594.75

It will make those smaller relative

Time: 2597.22

to the background levels of dopamine.

Time: 2600.44

You want a big spike in dopamine when you perform

Time: 2603.5

a motor pattern correctly and you want to make lots of errors,

Time: 2607.11

many, many repetitions of errors

Time: 2609.63

in order to get to that correct performance.

Time: 2612.2

Now, if you're like most people you're going to do this

Time: 2614.83

in a way that's somewhat random.

Time: 2617.78

Meaning let's say it's a tennis serve.

Time: 2619.45

I can't play tennis,

Time: 2620.63

I think I've probably played tennis twice.

Time: 2622.88

So if I throw the ball up in the air and hit it,

Time: 2624.55

I'm going to get it wrong and probably hit the net,

Time: 2626.59

then it hit the net.

Time: 2627.423

Then I'll probably go too long

Time: 2628.76

then I'll probably go over the fence.

Time: 2630.16

At some point, I like to think I'll get it correct.

Time: 2633.79

The dopamine signal for that is going to be quite big

Time: 2637.4

and I'll think, "Okay, what did I do there?

Time: 2639.497

"I actually don't know, I wasn't paying attention.

Time: 2641.267

"What I was paying attention to is whether or not

Time: 2643.61

"the ball went to the correct location

Time: 2645.413

"on the opposite side of the net."

Time: 2646.246

Remember it's an open loop move,

Time: 2647.61

so I don't actually know what I did correctly.

Time: 2649.85

But your nervous system will take care of that

Time: 2652.24

provided I in this case complete more and more

Time: 2656.1

and more repetitions.

Time: 2657.16

Now, if I were to just elevate my basil level of dopamine

Time: 2660.06

by taking, I don't know, 1500 milligrams L tyrasine

Time: 2663.739

or something, that would be bad because the increase

Time: 2665.93

in dopamine would actually be much lower.

Time: 2669.72

We would say the delta is smaller.

Time: 2671.37

The signal to noise is smaller

Time: 2673.28

if my overall levels of dopamine are very, very high.

Time: 2675.83

So I'm actually going to learn less well.

Time: 2677.84

So for skill learning, motor skill learning,

Time: 2680.47

increasing your dopamine levels prior is not a good idea.

Time: 2684.13

It might help with motivation to get to the learning

Time: 2686.61

but it's not going to improve the plasticity process itself

Time: 2689.59

and it's likely to hinder it.

Time: 2692.05

And so that's very important.

Time: 2693.65

So these errors cue the brain that something was wrong

Time: 2699.39

and they open up the possibility for plasticity.

Time: 2701.97

It's what sometimes called the framing effect,

Time: 2703.85

it frames what's important.

Time: 2706.435

And so I think this is a shift that we've heard about,

Time: 2709.01

growth mindset which is the incredible discovery and theory

Time: 2713.5

and practice of my colleague, Carol Dweck at Stanford.

Time: 2715.84

This is distinct from that.

Time: 2717.8

This isn't about motivation to learn,

Time: 2720.09

this is about how you actually learn.

Time: 2721.59

So the key is designate a particular block of time

Time: 2724.78

that you are going to perform repetitions.

Time: 2727.73

So maybe that's 30 minutes, maybe that's an hour.

Time: 2730.19

Work for time and then try and perform

Time: 2732.72

the maximum number of repetitions that you can do safely

Time: 2736.18

for you and others per unit time.

Time: 2739.06

That's going to be the best way to approach learning

Time: 2742.429

for most sessions.

Time: 2744.06

I will talk about other things that one can do,

Time: 2746.47

but making errors is key.

Time: 2748.24

And this isn't a motivational speech.

Time: 2749.74

I'm not saying, "Oh, go make errors,

Time: 2752.167

"errors are good for you.

Time: 2753.051

"You have to fail in order to win."

Time: 2753.884

No, you have to fail in order to open up the possibility

Time: 2757.54

of plasticity, but you have to fail many times

Time: 2760.39

within the same session.

Time: 2762.21

And those failures will cue your attention

Time: 2765.09

to the appropriate sensory events.

Time: 2766.92

Now, sometimes we're working with a coach.

Time: 2769.12

And so this is a shout out to all the coaches,

Time: 2771.74

thank you for doing what you do.

Time: 2773.81

However, there needs to be at least

Time: 2777.64

what the scientific literature say.

Time: 2779.66

There needs to be a period of each training session

Time: 2781.97

whereby the athlete or the person of any kind

Time: 2785.44

can simply pay attention to their errors

Time: 2787.8

without their attention being cued to something else.

Time: 2791.05

A really well-trained coach will say,

Time: 2792.497

"Oh, your elbows swinging too high,

Time: 2794.547

"or you're not gripping the racket

Time: 2796.407

"in the appropriate way," et cetera.

Time: 2798.36

They can see things that the practitioner can't see.

Time: 2800.91

And of course that's the vitally important.

Time: 2803.04

But the practitioner also needs to use

Time: 2806.92

this error recognition signal,

Time: 2809.97

they need to basically focus on something

Time: 2812.777

and the errors are going to tell them what to focus on.

Time: 2816.2

So put simply there needs to be a period of time

Time: 2819.45

in which it's just repetition after repetition,

Time: 2821.42

after repetition.

Time: 2822.253

I think many people including coaches

Time: 2824.49

are afraid that bad habits will get ingrained.

Time: 2827.45

And while indeed that's possible,

Time: 2830.11

it's very important that these errors occur

Time: 2832.51

in order to cue the attentional systems

Time: 2834.75

and to open the door for plasticity.

Time: 2836.96

So if I'm told, "Look, I'm standing a little wide,

Time: 2839.787

"I need to tighten up my stance a little bit."

Time: 2842.23

Great, but then I need to generate many repetitions

Time: 2844.72

from that tighten stance.

Time: 2846.36

So if I'm constantly being cued from the outside

Time: 2848.5

about what I'm incorrectly,

Time: 2850.3

that's not going to be as efficient.

Time: 2852.48

So for some people, these learning sessions

Time: 2854.96

might be 10 minutes, for some people, it might be an hour.

Time: 2857.4

Whatever you can allocate because your lifestyles

Time: 2860.21

will vary in your whether or not

Time: 2862.858

you're a professional athlete, et cetera will vary.

Time: 2863.95

You want to get the maximum number of repetitions in

Time: 2866.3

and you want to make errors.

Time: 2867.59

That's allowing for plasticity.

Time: 2869.83

So science points to the fact

Time: 2871.49

that there's a particular sequencing of learning sessions

Time: 2875.54

that will allow you to learn faster

Time: 2877.4

and to retain the skill learning

Time: 2879.78

and involves doing exactly as I just described,

Time: 2883.03

which is getting as many repetitions as you can

Time: 2886.11

in the learning session, paying attention to the errors

Time: 2890.34

that you make.

Time: 2892.08

And then the rewards that will be generated,

Time: 2894.67

again, these are neurochemical rewards

Time: 2896.62

from the successful performance of a movement

Time: 2898.93

or the approximate successful performance.

Time: 2902.39

So maybe you get the golf swing better but not perfect,

Time: 2905.97

but that's still going to be rewarded

Time: 2908.34

with this neurochemical mechanism.

Time: 2910.66

And then after the session,

Time: 2912.73

you need to do something very specific

Time: 2915.93

which is nothing.

Time: 2918.87

That's right.

Time: 2920.94

There are beautiful data describing neurons

Time: 2925.13

in our hippocampus, this area of our brain involved

Time: 2928.95

in the consolidation of new memories.

Time: 2932.44

Those data points to the fact that in sleep,

Time: 2935.99

there's a replay of the sequence of neurons

Time: 2939.22

that were involved in certain behaviors the previous day

Time: 2942

and sometimes the previous day before that.

Time: 2945.26

However, there are also data that show

Time: 2948.55

that after a skill learning session,

Time: 2951.1

any kind of motor movement provided you're not bringing in

Time: 2956.5

a lot more additional new sensory stimuli,

Time: 2961.78

there's a replay of the motor sequence

Time: 2964.46

that you performed correctly and there's an elimination

Time: 2969.71

of the motor sequences that you performed incorrectly

Time: 2973.42

and they are run backward in time.

Time: 2977.74

So to be very clear about this, if I were to learn

Time: 2980.55

a new skill or navigate a new city

Time: 2982.9

or let's just stay with the motor skill,

Time: 2984.98

let's say the free-throw or a golf swing or a tennis serve,

Time: 2989.17

dance move, novice.

Time: 2991.48

So I'm still going to make a lot of errors,

Time: 2992.99

don't get it perfectly,

Time: 2994.08

but maybe I get a little bit better

Time: 2996.21

or I perform it correctly three times out of 1000.

Time: 3000.435

And it sounds like something I might do

Time: 3002.13

and there I'm probably being generous to myself.

Time: 3004.93

After I finished the training session,

Time: 3007.84

if I do nothing, I'm not focused

Time: 3010.71

on some additional learning.

Time: 3011.94

I'm not bringing a lot of sensory information in.

Time: 3015.61

If I just sit there and close my eyes

Time: 3017.55

for five to 10 minutes, even one minute,

Time: 3021.51

the brain starts to replay the motor sequence

Time: 3025.31

corresponding to the correct pattern movement,

Time: 3028.16

but it plays that sequence backward.

Time: 3030.91

Now why it plays it backward, we don't know.

Time: 3034.33

If I were to wait until sleep or regardless

Time: 3037.32

of when I sleep later that night,

Time: 3041.31

the sequence will be replayed forwards

Time: 3045.251

in the proper sequence.

Time: 3047.32

Immediately afterward it's played a backward

Time: 3049.47

for reasons that are still unclear.

Time: 3051.66

But the replay of that sequence backwards

Time: 3054.67

appears to be important for the consolidation

Time: 3057.72

of the skill learning.

Time: 3059.92

Now, this is important because many people

Time: 3062.47

are finishing their jujitsu class

Time: 3065.09

or they're finishing their yoga class

Time: 3066.64

or they're finishing their dance class

Time: 3068.13

or they're finishing some skill learning

Time: 3070.08

and then they're immediately devoting their attention

Time: 3072.28

to something else.

Time: 3074.65

You hear a lot about visualization

Time: 3076.12

and we are going to talk about visualization.

Time: 3078.67

But in the kind of obsession with the idea

Time: 3081.26

that we can learn things, just sitting there

Time: 3082.98

with our eyes closed without having to perform a movement,

Time: 3085.8

we've overlooked something perhaps even more important

Time: 3089.51

or at least equally important,

Time: 3090.84

which is after skill learning, after putting effort

Time: 3094.28

into something, sitting quietly with the eyes closed

Time: 3098.54

for one to five to 10 minutes allows the brain

Time: 3102.73

to replay the sequence in a way that appears important

Time: 3106.49

for the more rapid consolidation of the motor sequence

Time: 3110.89

of the pattern and to accelerated learning.

Time: 3113.62

If you'd like to learn more about this,

Time: 3115.87

this is not work that I was involved in,

Time: 3117.58

I want to be very clear.

Time: 3119

There's an excellent paper that covers this and much more

Time: 3122.04

for those of you that really want to dive deep on this

Time: 3124.522

and we will dive deeper in a moment.

Time: 3125.83

This is a review that was published in the Journal Neuron,

Time: 3128.87

excellent journal.

Time: 3131.05

Many of the papers that I'm referring to

Time: 3132.9

were covered in this review which is titled,

Time: 3135.85

Neuroplasticity Subserving Motor Skill Learning by Dayan

Time: 3141.405

D-A-Y-A-N, I hope I'm not butchering the pronunciation

Time: 3144.08

and Cohen, by Leonard Cohen,

Time: 3145.93

but not the Leonard Cohen most of us are familiar with,

Time: 3150

the musician, Leonard Cohen.

Time: 3152.49

Dayan and Cohen, neuroplasticity

Time: 3154.94

subserving motor skill learning.

Time: 3157.17

And this was published in 2011, but there've been

Time: 3162.79

a number of updates and the literature that I've described

Time: 3166.61

in other portions of today's episode

Time: 3168.82

come from the more recent literature

Time: 3170.59

such as the more recent 2021 paper.

Time: 3173.09

So you have this basic learning session

Time: 3175.78

and then a period of time afterwards

Time: 3177.19

in which the brain can rehearse what it just did.

Time: 3179.54

We hear so much about mental rehearsal

Time: 3181.39

and we always think about mental rehearsal

Time: 3182.96

as the thing you do before you train or instead of training.

Time: 3186.76

But this is rehearsal that's done afterward

Time: 3188.99

where the brain is just automatically

Time: 3190.91

scripting through the sequence.

Time: 3192.29

And for some reason, that's still not clear

Time: 3195.27

as to why this would be the case it runs backward.

Time: 3198.83

Then in sleep, it runs forwards and certainly absolutely,

Time: 3203.81

sleep and quality sleep of the appropriate duration,

Time: 3206.6

et cetera is going to be important

Time: 3208.824

for learning of all kinds, including skill learning.

Time: 3209.93

We did an entire four episodes on sleep

Time: 3213.01

and how to get better at sleeping.

Time: 3214.06

Those are the episodes back in January episodes,

Time: 3216.53

essentially one, two, three, and four

Time: 3219.79

and maybe even episode five, I don't recall.

Time: 3222.35

But you can go there to find out

Time: 3224.39

all about how to get better at sleeping.

Time: 3226.88

Now there are other training sessions involved.

Time: 3230.17

I'm not going to learn the perfect golf swing

Time: 3231.81

or the tennis serve or how to dance in one session

Time: 3236.4

and I doubt you will either.

Time: 3238.35

So the question is when to come back

Time: 3240.58

and what to do when you come back to the training set.

Time: 3243.16

Now, first of all, this principle of errors

Time: 3247.37

queuing attention and opening the opportunity

Time: 3250.85

for plasticity, that's never going to change.

Time: 3254.44

That's going to be true for somebody who is hyper skilled

Time: 3257.27

who's even has mastery or even virtuosity in a given skill.

Time: 3263.84

Remember, when you're unskilled at something,

Time: 3266.36

uncertainty is very high.

Time: 3267.61

As you become more skilled, certainty goes up.

Time: 3270.68

Then eventually you achieve levels of mastery

Time: 3272.81

where certainty is very very high about your ability

Time: 3275.5

to perform, yours certainty en that of other people.

Time: 3279.675

And then there's this fourth category of virtuosity

Time: 3282.8

where somebody, maybe you invites uncertainty

Time: 3286.1

back into the practice because only with that uncertainty,

Time: 3289.26

can you express your full range of abilities

Time: 3292.74

which you aren't even aware of

Time: 3294.06

until uncertainty comes into the picture.

Time: 3297.774

I happened to have the great privilege

Time: 3301.14

of being friends with Laird Hamilton, the big wave surfer

Time: 3304.52

who's phenomenal.

Time: 3305.43

I don't surf, I certainly don't surf with Laird,

Time: 3308.28

but he, and another guy that he starts with Luca Patua,

Time: 3313.26

these guys, they're virtuosos at surfing.

Time: 3316.28

They don't just want the wave that they can master,

Time: 3319.32

they want uncertainty.

Time: 3320.56

They're at the point in their practice

Time: 3322.21

where when uncertainty shows up like a wave

Time: 3325.48

that's either so big or is moving in a particular way

Time: 3331.07

that it brings an element of uncertainty for them

Time: 3333.99

about what they're going to do that they recognize that

Time: 3336.7

as the opportunity to perform better

Time: 3338.34

than they would otherwise.

Time: 3340.363

So they're actually trying to eliminate uncertainty.

Time: 3342.41

At the beginning of learning any skill

Time: 3344.884

and as we approach from uncertain to skilled to mastery,

Time: 3347.46

we want to reduce uncertainty.

Time: 3349.44

And that's really what the nervous system is doing,

Time: 3351.02

it's trying to eliminate errors and hone in

Time: 3353.07

on the correct trajectories.

Time: 3356.81

If you perform a lot of repetitions

Time: 3359.72

and then you use a period immediately after,

Time: 3362.77

we don't really have a name for this,

Time: 3364

maybe someone will come up with it

Time: 3365.2

and put it in the comment section

Time: 3366.43

if you're on YouTube, if you're watching this on YouTube,

Time: 3369.52

a name for this post learning kind of idle time

Time: 3372.44

for the brain.

Time: 3373.273

The brain is an idol at all, it's actually scripting

Time: 3375.29

all these things in reverse that allow for deeper learning

Time: 3378.35

and more quick learning.

Time: 3381.5

But if we fill that with other things,

Time: 3385.44

if we are focused on our phones or we're focused

Time: 3386.91

on learning something else,

Time: 3387.93

we're focusing on our performance,

Time: 3390.62

that's not going to serve us well,

Time: 3392.27

it's at least it's not going to serve the skill learning well.

Time: 3394.11

So please, if you're interested in more rapid skill learning

Time: 3396.49

try introducing these sessions, they can be quite powerful.

Time: 3399.7

And then on subsequent sessions,

Time: 3401.33

presumably after a night's sleep

Time: 3403.23

or maybe you're doing two sessions a day,

Time: 3404.71

although two sessions a day is going to be a lot

Time: 3406.56

for most people, unless you're a professional

Time: 3408.35

or a high-level athlete, the subsequent sessions

Time: 3414.35

are where you get to express the gains

Time: 3417.47

of the previous session, where you get to perform well,

Time: 3421.97

presumably more often even if it's just subtle.

Time: 3424.11

Sometimes there'll be a decrease in performance,

Time: 3426.1

but most often you're going to perform better

Time: 3428.82

on subsequent and subsequent training sessions.

Time: 3432.36

And there is the opportunity to devote attention

Time: 3436.38

in very specific ways, not just let the errors inform you

Time: 3442.14

where to place your attention, but rather to direct

Time: 3446.41

your perception to particular elements of the movement

Time: 3450.16

in order to accelerate learning further.

Time: 3453.03

So to be very clear, 'cause I know many of you

Time: 3456.01

are interested in concrete protocols.

Time: 3458.81

It's not just that you would only let errors

Time: 3461.25

cue your attention on the first session.

Time: 3463.29

You might do that for one session or five sessions,

Time: 3466

is going to depend.

Time: 3467.07

But once you're familiar with something

Time: 3468.577

and you're performing it well every once in a while,

Time: 3471.08

you're accomplishing it better every once in a while,

Time: 3474.75

then you can start to cue your attention

Time: 3476.47

in very deliberate ways.

Time: 3478.46

And the question therefore becomes

Time: 3480.17

what to cue your attention to.

Time: 3482.53

And the good news is it doesn't matter.

Time: 3487.55

There is a beautiful set of experiments that have been done

Time: 3490.52

looking at sequences of keys being played on a piano.

Time: 3495.49

This is work that was published just a couple of years ago.

Time: 3498.15

There are actually several papers now

Time: 3500.05

that are focused on this.

Time: 3502.09

One of them was published in 2018.

Time: 3504.37

This is from Claudia Lappe and colleagues, L-A-P-P-E.

Time: 3509.39

She's done some really nice work, which talks about

Time: 3511.94

the influence of pitch feedback

Time: 3513.95

on learning of motor timing and sequencing.

Time: 3516.13

And this was done with piano

Time: 3517.68

but it carries over to athletic performance as well.

Time: 3520.18

So I'm going to describe the study to you,

Time: 3522.34

but before I describe it, what is so interesting

Time: 3526.56

about this study that I want you to know about

Time: 3529.26

is that it turns out it doesn't matter so much

Time: 3533.78

what you pay attention to during the learning sequence

Time: 3537.07

provided it's something related to the motor behavior

Time: 3539.92

that you're performing.

Time: 3541.76

That seems incredible.

Time: 3543.31

I'm not good at a tennis serve.

Time: 3546.44

So if I've done let's say a thousand repetitions

Time: 3549

of the tennis serve.

Time: 3549.89

Maybe I got it right three to 10 times.

Time: 3552.11

Now I'm being even more generous with myself.

Time: 3553.75

And I do this post-training session

Time: 3556.11

where I let my brain idle and I get some good sleep

Time: 3558.63

and I come back and now I start generating errors again,

Time: 3562.02

presumably or hopefully fewer errors,

Time: 3564.78

but I decide I'm going to cue my attention

Time: 3566.57

to something very specific, like maybe how tightly

Time: 3569.78

I'm holding the racket or maybe it's my stance,

Time: 3572.3

or maybe it's whether or not I rotate my right shoulder in

Time: 3576.17

as I hit the ball across.

Time: 3578.787

And I'm making this up, again I don't play tennis.

Time: 3580.26

Turns out that it as long as it's the same thing

Time: 3583.38

throughout the session, learning is accelerated.

Time: 3586.3

And I'll explain why this make sense in a moment.

Time: 3590.66

But just to be really clear, you can and one should

Time: 3596.34

use your powers of attention to direct your attention

Time: 3598.67

to particular aspects of a motor movement

Time: 3600.4

once you're familiar with the general theme of the movement.

Time: 3603.48

But what you pay attention to exactly is not important.

Time: 3606.58

What's important is that you pay attention

Time: 3609.1

to one specific thing.

Time: 3611.07

So what Claudia Lappe and colleagues showed

Time: 3613.07

was that if people are trying to learn a sequence of keys

Time: 3617.11

on the piano, there are multiple forms of feedback.

Time: 3621.51

There are error signals if for instance,

Time: 3624.15

they hear a piece of music and then they're told

Time: 3625.94

to press the keys in a particular sequence

Time: 3628.459

and the noise that comes out, the sound that comes out

Time: 3632.06

of the piano does not sound like the song they just heard.

Time: 3635.79

So instead of, and here, forgive me

Time: 3637.83

because I'm neither musical, nor can I sing.

Time: 3640.98

But instead of dah, dah dah, dah, they hear that,

Time: 3645.55

dah, dah dah, dah

Time: 3647.22

and then instead when they play.

Time: 3649.821

If it were me, it sounds something like,

Time: 3651.329

dah, dah dah [indistinct], it wouldn't sound right.

Time: 3654.15

It wouldn't sound right, because I likely got the sequence

Time: 3656.32

wrong, or I was pressing too hard on the keys

Time: 3658.21

or too lightly on the keys, et cetera.

Time: 3662.39

What they showed was if they just instruct people

Time: 3666.67

about the correct sequence to press on the keys,

Time: 3670.06

it actually doesn't matter what sound comes back,

Time: 3672.52

provided it's the correct sound or it's the same sound.

Time: 3677.63

All right, so here's the experiment.

Time: 3679.32

They had people press on these keys

Time: 3681.06

and it was a typical piano and it generated

Time: 3683.7

the particular sequence of sounds that would be generated

Time: 3686.05

by pressing the keys on the piano.

Time: 3688.7

Or they modified the keyboard in this case or piano

Time: 3693.09

such that when people pressed on the keys,

Time: 3695.86

a random tone different tones were played

Time: 3698.92

each time they pressed on the keys.

Time: 3700.52

So it sounded crazy, it sounded like noise,

Time: 3703.06

but the motor sequence was the same.

Time: 3706.19

Or they had a single tone that was played every time

Time: 3711.04

they pressed a key and the job or the task of the subject

Time: 3714.42

was just oppressed the keys in the proper sequence.

Time: 3718.31

So instead of dunt, dunt, dunt, dunt, dunt,

Time: 3720.868

it it was just dunt, dunt, dunt, dunt, dunt.

Time: 3723.41

Instead of dah, dah, dah, dah, dah, dah,

Time: 3725.04

it's dah, dah, dah, dah, dah.

Time: 3726.77

It's even hard for me to say it in even a tone,

Time: 3730.12

but you get the idea.

Time: 3731.01

So a singular tone, just think a doorbell being rung

Time: 3733.96

with each press of the key will be really annoying.

Time: 3738.21

But it turns out that the rate to motor learning

Time: 3742.75

was the same, whether or not they were getting feedback

Time: 3747.1

that was accurate to the keys of the piano

Time: 3749.28

or whether or not it was a constant tone.

Time: 3752.04

Performance was terrible and the rates of learning

Time: 3755.674

were terrible if they were getting random tones back.

Time: 3758.18

So what this means is that learning to play the piano

Time: 3760.71

at least at these early stages

Time: 3762.52

is really just about generating the motor commands.

Time: 3766.27

It's not about paying attention to the sound

Time: 3769.39

that's coming out of the piano.

Time: 3772.095

And this makes sense because when we are beginners,

Time: 3774.34

we are trying to focus our attention on the things

Time: 3777.11

that we can control.

Time: 3778.73

And if you think about this, if you conceptualize this,

Time: 3783.71

pressing the keys on the piano and paying attention

Time: 3786.46

to the sounds that are coming out are two things.

Time: 3788.94

So what this means is that as you get deeper

Time: 3792.26

and deeper into a practice,

Time: 3794.46

focusing purely on the motor execution can be beneficial.

Time: 3799.02

Now, this is going to be harder to do

Time: 3801

with open loop type things where you're getting feedback.

Time: 3804.77

I guess a good example of open loop

Time: 3806.35

would be the attempt at a back flip.

Time: 3808.26

If you get it wrong, you will immediately know,

Time: 3810.36

if you get it right, you'll immediately know.

Time: 3812.21

Please don't go out and try and do a back flip

Time: 3813.86

on the solid ground, or even on a trampoline

Time: 3815.89

if you don't know what you're doing

Time: 3817.33

because very likely you'll get it wrong

Time: 3819.21

and you'll get injured.

Time: 3821.33

But if it's something that is closed loop

Time: 3824.18

where you can repeat again and again, and again and again,

Time: 3826.96

that is advantageous because you can perform

Time: 3829.37

many many repetitions and you can start to focus

Time: 3832.98

or learn to focus your attention

Time: 3834.51

just on the pattern of movement.

Time: 3837.08

In other words, you can learn to play the piano

Time: 3839.65

just as fast or maybe even faster

Time: 3842.48

by just focusing on the sequence that you are moving

Time: 3845.01

your digits, your fingers and not the feedback.

Time: 3847.78

Now, I'm sure there are music teachers out there

Time: 3849.67

and piano teachers that are screaming,

Time: 3851.017

"No you're going to ruin the practice

Time: 3853.067

"that all of us have embedded in our minds

Time: 3855.737

"and in our students."

Time: 3857.01

And I agree, at some point you need to start

Time: 3860.81

including feedback about whether or not

Time: 3863.13

things sound correct.

Time: 3864.31

But one of the beauties of skill learning

Time: 3866.63

is that you can choose to parameterize it,

Time: 3869.08

meaning you can choose to just focus on the motor sequence

Time: 3871.95

or just focus on the sounds that are coming back

Time: 3874.47

and then integrate those.

Time: 3876.54

And so we hear a lot about chunking,

Time: 3878.84

about breaking things down into their component parts.

Time: 3881.5

But one of the biggest challenges for skill learning

Time: 3883.62

is knowing where to place your attention.

Time: 3885.8

So to dial out again, we're building a protocol

Time: 3889.234

across this episode, early sessions,

Time: 3890.85

maybe it's the first one, maybe it's the first 10,

Time: 3892.93

maybe it's the first 100.

Time: 3894.54

It depends on how many repetitions you're packing in.

Time: 3897.25

But during those initial sessions,

Time: 3899.03

the key is to make many errors to let the reward process

Time: 3902.73

govern the plasticity, let the errors open the plasticity.

Time: 3906.92

And then after the learning sessions,

Time: 3908.95

to let the brain go idle

Time: 3910.96

at least for a short period of time

Time: 3912.27

and of course, to maximize sleep.

Time: 3913.82

As you start incorporating more sessions,

Time: 3916.91

you start to gain some skill level,

Time: 3919.82

learning to harness and focus your attention

Time: 3922.05

on particular features of the movement

Time: 3925.37

independent of the rewards and the feedback.

Time: 3928.9

So the reward is no longer in the tone coming from the piano

Time: 3932.46

or whether or not you struck the target correctly

Time: 3934.38

but simply the motor movement focusing your,

Time: 3938.15

for instance in a dart throw, on the action of your arm.

Time: 3941.38

That is embedding the plasticity in the motor pattern

Time: 3944.75

most deeply, that's what's been shown

Time: 3946.64

by the scientific literature.

Time: 3948.06

I'm sure there are coaches and teachers out there

Time: 3949.97

that will entirely disagree with me and that's great.

Time: 3952.85

Please let me know what you prefer,

Time: 3955.02

let me know where you think this is wrong

Time: 3957.73

and it rarely happens, but let me know where you think

Time: 3960.31

this might be right as well.

Time: 3961.87

So we're breaking the learning process down

Time: 3963.73

into its component parts.

Time: 3965.4

As we get more and more skilled,

Time: 3967.09

meaning as we make fewer and fewer errors

Time: 3969.57

per a given session per unit time, that's when attention

Time: 3974.66

can start to migrate from one feature

Time: 3978.51

such as the motor sequence to another feature

Time: 3980.62

which is perhaps one's stance and another sequence,

Time: 3985.75

component of the sequence, which would be the result

Time: 3988.08

that's one getting on a trial to trial basis.

Time: 3992.01

So changing it up each time.

Time: 3993.03

So maybe I served the tennis ball

Time: 3995.27

and I'm focusing on where the ball lands

Time: 3997.62

and then I'm focusing on the speed,

Time: 3999.16

then I'm focusing on my grip, then I'm focusing on my stance

Time: 4001.63

from trial to trial.

Time: 4003.93

But until we've mastered the core motor movements

Time: 4007.14

which has done session to session,

Time: 4009.35

that at least according to the literature

Time: 4011.31

that I have access to here, seems to be suboptimal.

Time: 4015.25

So hopefully this is starting to make sense,

Time: 4017.59

which is that these connections between upper motor neurons,

Time: 4021.41

lower motor neurons and central pattern generators,

Time: 4024.24

you can't attack them all at once.

Time: 4026.08

You can't try and change them all at once.

Time: 4028.094

And so what we're doing is we're breaking things down

Time: 4029.21

into their component parts.

Time: 4031.32

Some of you may be wondering about speed of movement.

Time: 4035.84

There are some data, meaning some decent papers out there

Time: 4039.64

showing that ultra slow movements,

Time: 4042.06

performing a movement essentially in slow motion

Time: 4046.05

can be beneficial for enhancing the rate of skill learning.

Time: 4051.39

However, at least from my read of the literature,

Time: 4055.03

it appears that ultra slow movements should be performed

Time: 4058.09

after some degree of proficiency has already been gained

Time: 4062.56

in that particular movement.

Time: 4064.29

Now that's not the way I would have thought about it.

Time: 4066.08

I would have thought, well, if you're learning how to do

Time: 4068.48

a proper kick or a paunch in martial arts

Time: 4070.73

or something that ultra slow movements at first

Time: 4073.18

are going to be the way that one can best learn

Time: 4077.88

how to perform a movement

Time: 4079.04

and then you just gradually increase the speed.

Time: 4081.06

It turns out that's not the case

Time: 4083.51

and I probably should have known that.

Time: 4085.41

And you should probably know that because it turns out

Time: 4088.56

that when you do ultra slow movements,

Time: 4090.44

two things aren't available to you.

Time: 4092.41

One is the proprioceptive feedback is not accurate

Time: 4096.07

because of fast movements of limbs are very different

Time: 4098.88

than slow movements of limbs.

Time: 4100.81

So you don't get the opportunity

Time: 4101.92

to build in the proprioceptive feedback.

Time: 4104.46

But the other reason why it doesn't work

Time: 4107.16

is that it's too accurate, you don't generate errors.

Time: 4111.47

And so the data that I was able to find

Time: 4114.13

show that very slow movements can be beneficial

Time: 4118

if one is already proficient in a practice,

Time: 4120.83

but very slow movements at the beginning

Time: 4123.13

don't allow you to learn more quickly

Time: 4125.4

because you never generate errors

Time: 4127.06

and therefore the brain doesn't, it's not open for change.

Time: 4130.78

The window for plasticity has never swung open, so to speak.

Time: 4134.67

So it brings us back to this theme

Time: 4136.97

that errors allow for plasticity,

Time: 4139.15

correct performance of movements

Time: 4140.84

or semi correct performance of movements, cues the synapses

Time: 4145.15

in the brain areas and spinal circuits that need to change.

Time: 4148.57

And then those changes occur in the period

Time: 4150.58

immediately after skill learning and in sleep.

Time: 4153.86

So super slow movements can be beneficial

Time: 4156.66

once you already have some proficiencies.

Time: 4158.57

So this might be standing in your living room

Time: 4161.13

and just in ultra slow motion,

Time: 4163.28

performing your tennis serve, learning to,

Time: 4165.33

or thinking about how you're adjusting your elbow

Time: 4167.42

and your arm and the trajectory exactly how you were taught

Time: 4169.96

by your tennis coach.

Time: 4171.34

But trying to learn it that way from the outset

Time: 4174.3

does not appear to be the best way to learn a skill.

Time: 4177.98

When should you start to introduce slow learning?

Time: 4180.25

Well, obviously talk to your coaches about this,

Time: 4182.68

but if you're doing this recreationally

Time: 4184.57

or you don't have a coach, I realize many of you don't.

Time: 4186.89

I don't have a coach for anything that I do.

Time: 4190.2

I'm going to have just navigating it

Time: 4192.35

by using the scientific literature.

Time: 4194.66

It appears that once you're hitting success rates

Time: 4196.85

of about 25 or 30%, that's where the super slow movements

Time: 4200.83

can start to be beneficial.

Time: 4202.61

But if you're still performing things at a rate

Time: 4205.75

of five or 10% correct and the rest are errors,

Time: 4209.2

then the super slow movements

Time: 4210.44

are probably not going to benefit you that much.

Time: 4213.21

Also super slow movements are not really applicable

Time: 4216.27

to a lot of things.

Time: 4218.06

For instance, you could imagine throwing a dart

Time: 4221.17

super slow motion, but if you actually try

Time: 4223.27

and throw an actual dart,

Time: 4224.64

the dart's just going to fall to the floor, obviously.

Time: 4227.23

So there are a number of things like baseball bat swing

Time: 4230.3

which you can practice in super slow motion.

Time: 4232.85

But if you try and do that with an actual baseball

Time: 4234.91

or softball or something like that,

Time: 4237.466

that's not going to give you any kind of feedback

Time: 4238.55

about how effective it was.

Time: 4239.97

So super slow movements or a decelerated movement

Time: 4245.75

has its place but once you're already performing things

Time: 4249.23

reasonably well like maybe 25 to 30% success rate.

Time: 4253.02

And I've tried this, I actually, I struggle with basketball

Time: 4256.64

for whatever reason and my free throw is terrible.

Time: 4259.18

So I practiced free throws in super slow motion

Time: 4262.31

and I nailed them every time,

Time: 4264.25

the problem is there's no ball.

Time: 4266.31

Some of you already have a fair degree of proficiency,

Time: 4269.32

of skill in a given practice or sport or instrument.

Time: 4275.01

And if you're in this sort of advanced intermediate

Time: 4278.15

or advanced levels of proficiency for something,

Time: 4282.68

there is a practice that you can find interesting data for

Time: 4287.05

in the literature, which involves metronoming.

Time: 4290.7

So this you'll realize relates to generating repetitions

Time: 4296.19

and it relates to the tone experiment

Time: 4299.18

where it doesn't really matter what your attention

Time: 4301.97

is cued to as long as you are performing

Time: 4303.96

many many reps of the motor sequence.

Time: 4306.85

You can use a metronome and obviously musicians do this,

Time: 4309.96

but athletes can do this too.

Time: 4312.34

You can use a metronome to set the cadence

Time: 4314.87

of your repetitions.

Time: 4316.79

Now for swimmers, there's actually a device.

Time: 4321.066

I was able to find online,

Time: 4321.899

I forgot what the brand name was

Time: 4322.75

and that's not what this is about, but that actually goes

Time: 4325.62

in the swim cap that can cue you

Time: 4328.11

to when you need to perform another stroke.

Time: 4330.18

And for runners, there are other metronome type devices

Time: 4334.18

that through headphones or through a tone in the room

Time: 4336.93

if you're running indoors or on a treadmill

Time: 4339

we'll cue you to when you basically

Time: 4341.62

you need to lift your heels.

Time: 4342.453

And if you do that, what athletes find

Time: 4344.14

is they can perform more repetitions,

Time: 4346.36

they can generate more output, you can increase speed.

Time: 4349.61

A number of really interesting things are being done

Time: 4351.27

with auditory metronoming.

Time: 4353.457

And then I'm involved in a little bit of work now

Time: 4354.76

that hopefully I'll be able to report back to you

Time: 4356.9

about using stroboscopic metronoming.

Time: 4359.33

So actually changing the speed of the visual environment.

Time: 4362.05

These are fun experiments, basically changing

Time: 4364.64

one's perception of how fast they're moving through space

Time: 4367.13

by playing with the visual system,

Time: 4369.01

something for a future discussion.

Time: 4370.74

But you can start to use auditory metronoming

Time: 4373.67

for generating more movements per unit time

Time: 4377.57

and generating more errors and therefore more successes

Time: 4380.83

and more neuroplasticity.

Time: 4382.67

There are a number of different apps out there.

Time: 4384.89

I found several free apps where you can set in

Time: 4387.09

a metronome pace, or it might be tick, tick,

Time: 4388.92

tick, tick, tick, tick.

Time: 4390.33

That's a little fast for most things,

Time: 4391.81

but you can imagine if this were darts

Time: 4394.32

or this were golf swings that it might be tick,

Time: 4397.41

tick, tick, tick or something more like tick, tick.

Time: 4400.96

And every time the metronome goes, you swing.

Time: 4403.33

Every time the metronome goes, you throw a dart.

Time: 4405.66

Actually there's some wild experiments out there.

Time: 4407.22

You know there's a world championship of cup stacking.

Time: 4409.91

There's a young lady who I saw could take all these cups

Time: 4413.14

spread out on a table and basically just stack them

Time: 4415.33

into the perfect pyramid in the least amount of times

Time: 4417.527

and all the kids go wild.

Time: 4418.55

This is something I'd never thought to pursue

Time: 4421.01

and frankly never will pursue

Time: 4423.32

unless my life depends on it for some reason,

Time: 4424.96

but it's really impressive.

Time: 4426.3

And if you look at the sequence

Time: 4428.12

'cause these have been recorded,

Time: 4429.29

you can look this up on YouTube.

Time: 4431.61

What you'll find is that these expert cup stackers,

Time: 4434.63

it's just all about error elimination.

Time: 4436.91

But they're two metronomic and auditory cues

Time: 4440.07

can actually cue them to pick up the cups faster

Time: 4442.68

than they would ordinarily and to learn to do that.

Time: 4445.48

You can do this for anything.

Time: 4446.53

I think cup stacking is probably not a skill

Time: 4448.96

most of you are interested in doing,

Time: 4450.11

but for any skill, if you figure out at what rate

Time: 4455.13

you are performing repetitions per unit time

Time: 4457.59

and you want to increase that slightly,

Time: 4459.28

you set a metronome which is slightly faster

Time: 4462.43

than your current rate and you just start generating

Time: 4464.52

more repetitions.

Time: 4465.37

Now what's interesting about this and is cool

Time: 4467.95

is it relates back to the experiment

Time: 4470.73

from Lappe and colleagues, which is your attention

Time: 4474.98

is now harnessed to the tone, to the metronome,

Time: 4479.44

not necessarily to what you're doing

Time: 4481

in terms of the motor movement.

Time: 4483.198

And so really you need a bit of proficiency.

Time: 4484.96

Again, this is for people who are in intermediate

Time: 4487.15

or advanced intermediate or advanced.

Time: 4489.12

But what you're essentially doing is you're creating

Time: 4491.54

an outside pressure, a contingency so that you generate,

Time: 4495.31

again, more errors.

Time: 4496.72

So it's all about the errors that you get.

Time: 4498.75

Now, these aren't errors where all the cups tumble

Time: 4500.69

or you have to stop or you can't keep up,

Time: 4502.7

you have to set the pace just a little bit

Time: 4504.49

beyond what you currently can do.

Time: 4506.97

And when you do that, you're essentially forcing

Time: 4509.03

the nervous system to make errors and correct the errors

Time: 4511.18

inside of the session.

Time: 4512.76

I find this really interesting because what it means

Time: 4514.93

is, again you've got sensory perception,

Time: 4517.17

what you're paying attention to,

Time: 4518.1

proprioception where your limbs are and the motor neurons

Time: 4520.84

in your upper lower motor neurons

Time: 4522.94

and central pattern generators.

Time: 4524.88

And you can't pay attention to,

Time: 4526.267

"Well, they're my upper motor neurons,

Time: 4527.777

"they're my lower motor neurons."

Time: 4528.81

Forget that, you're not going to do that.

Time: 4531.321

You can't pay attention to your proprioception too much.

Time: 4533.89

That would be the super slow motion

Time: 4535.55

would be the proprioception.

Time: 4537.53

But you have to harness your attention to something.

Time: 4541.35

And if you harness your attention

Time: 4542.5

to this outside contingency, this metronome

Time: 4544.68

that's firing off and saying, now go, now go, now go.

Time: 4548.61

Not only can you increase the number of repetitions, errors

Time: 4551.52

and successes, but for some reason and we don't know why,

Time: 4555.85

the regular cadence of the tone of the metronome

Time: 4560.456

and the fact that you are anchoring your movements

Time: 4562.72

to some external force, to some external pressure

Time: 4566.19

or cue seems to accelerate the plasticity

Time: 4570.42

and the changes and the acquisition of skills

Time: 4572.96

beyond what it would be if you just did the same number

Time: 4575.16

of repetitions without that outside pressure.

Time: 4577.74

We don't know exactly what the mechanism is.

Time: 4579.42

Presumably it's neurochemical, like there's something

Time: 4582.23

about keeping up with a timer or with a pace

Time: 4585.41

that presumably and I'm speculating here,

Time: 4588.16

causes the release of particular chemicals.

Time: 4590.48

But I think it's really cool.

Time: 4591.95

Metronomes, they're totally inexpensive,

Time: 4594.22

at least the ones that you use outside of water

Time: 4596.46

are very inexpensive.

Time: 4597.49

You can find these free apps,

Time: 4599.22

you can use a musical metronome.

Time: 4600.84

So metronomes are a powerful tool as well

Time: 4603.93

in particular for speed work.

Time: 4605.63

So for sprinting or swimming or running

Time: 4607.97

where the goal is to generate more strokes

Time: 4612.1

or more efficient strokes or more steps, et cetera.

Time: 4615.86

The rate of the metronome obviously

Time: 4617.45

is going to be very important.

Time: 4619.3

Sometimes you're trying to lengthen your stride,

Time: 4620.95

sometimes you're trying to take fewer strokes

Time: 4622.93

but glide further in the pool for instance.

Time: 4625.48

But the value of occasionally

Time: 4628.73

just the number of repetitions, the number of strokes

Time: 4631.69

or steps, et cetera per unit time is also

Time: 4634.34

that you're training the central pattern generators

Time: 4636.27

to operate at that higher speed.

Time: 4639.55

One of the sports has kind of interesting to me

Time: 4641.28

is speed walking.

Time: 4642.4

It's not one I engage in or ever planned to engage in,

Time: 4645.61

but if you've ever tried to really speed walk,

Time: 4647.99

it's actually difficult to walk very very fast

Time: 4650.16

without breaking into a run.

Time: 4651.75

All animals have these kinds of crossover points

Time: 4654.2

where you go.

Time: 4656.77

I think with horses it's like it was that they trot,

Time: 4659.68

then they gallop on, or what's the next thing.

Time: 4662

Clearly, I don't know anything about horses

Time: 4665.24

except that they're beautiful and I liked them very much.

Time: 4667.75

But they break into a different kind of stride.

Time: 4671.01

And that's because you shift over

Time: 4672.29

to different central pattern generators.

Time: 4675.09

So when you're walking or a horse is moving very slowly

Time: 4677.95

and then it breaks into a jog

Time: 4680.452

and then into a full sprint or gallop for the horse,

Time: 4683.79

you're actually engaging different

Time: 4684.97

central pattern generators.

Time: 4687.26

And those central pattern generators

Time: 4688.11

always have a range of speeds that they're happiest

Time: 4690.94

to function at.

Time: 4692.05

So with the metronoming for speed purposes,

Time: 4696.163

what you do is you can basically bring the activity

Time: 4699.05

of those central pattern generators

Time: 4700.35

into their upper range and maybe even extend their range.

Time: 4704.828

And there's a fascinating biology

Time: 4705.72

of how central pattern generators work together.

Time: 4708.934

There's coupling of central pattern generators, et cetera

Time: 4710.82

in order to achieve maximum speeds and et cetera.

Time: 4714.333

It's a topic for a kind of an advanced session.

Time: 4715.77

Costa loves this topic, he just barked.

Time: 4719.418

And he loves it so much, he barked again.

Time: 4720.57

In any event, the metronome is a powerful tool,

Time: 4723.06

again for more advanced practitioners

Time: 4725.2

or for advanced intermediate practitioners.

Time: 4727.35

But it's interesting because it brings back

Time: 4731.56

the point that what we put our attention to

Time: 4734.27

while we're still learning is important

Time: 4737.17

to the extent that it's on one thing

Time: 4739.46

at least for the moment or trial to trial,

Time: 4742.11

but that what we focus our attention on can be external,

Time: 4748.383

it can be internal and ultimately the skill learning

Time: 4750.42

is where all that is brought together.

Time: 4752.64

So let's talk about where skill learning occurs

Time: 4755.12

in the nervous system.

Time: 4756.896

And then I'm going to give you a really,

Time: 4759.31

what I think is a really cool tool

Time: 4762.52

that can increase flexibility and range of motion

Time: 4766.17

based on this particular brain area.

Time: 4767.86

It's a tool that I used and when I first heard about,

Time: 4770.11

I did not believe would work.

Time: 4772.14

This is not a hack, this is actually anchored deeply

Time: 4774.38

in the biology of a particular brain region that we all have

Time: 4779.278

whose meaning is mini brain.

Time: 4780.89

And that mini brain that we all have

Time: 4783.43

is called your cerebellum.

Time: 4785.32

The cerebellum is called the mini brain

Time: 4787.1

because it's in the back of your brain.

Time: 4789.209

It looks like a little mini version

Time: 4790.042

of the rest of your brain.

Time: 4790.94

It's an absolutely incredible structure

Time: 4793.52

that's involved in movement.

Time: 4794.96

It also has a lot of non-movement associated functions.

Time: 4799.92

In brief, the cerebellum gets input from your senses,

Time: 4807.685

particularly, your eyes and pays attention

Time: 4809.6

to where your eyes are in space, what you're looking at.

Time: 4812.45

It basically takes information about three aspects

Time: 4816.28

of your eyes and eye movements which are occurring

Time: 4821.24

when your head goes like this, which is called pitch.

Time: 4825.06

So this is pitch.

Time: 4827.33

For those of you that are listening I'm just nodding

Time: 4829

up and down then there's yaw,

Time: 4831.63

which is like shaking your head, no, from side to side.

Time: 4834.43

And then there's roll, which is that like sometimes

Time: 4837.46

if you see a primate, like a Marmoset or something,

Time: 4841.426

they will roll their head when they look at you.

Time: 4842.73

Actually, the reason they do that is it helps generate

Time: 4845.07

depth perception, it's a kind of form of motion parallax

Time: 4847.77

if you're curious why they do that.

Time: 4849.12

It's not to look cute, they do it because when they do that,

Time: 4852.49

even if you're stationary and they're stationary,

Time: 4854.54

they get better depth perception

Time: 4856.27

as to how far away from them you are.

Time: 4859.9

So you've got pitch, yaw and roll.

Time: 4863.18

And as you move your head and as you move your body

Time: 4866.55

and you move through space, the image on your retina moves,

Time: 4870.42

pitch, yaw on roll in some combination,

Time: 4872.2

that information is relayed to your cerebellum.

Time: 4875.48

So it's rich with visual information.

Time: 4877.82

There's also a map of your body surface

Time: 4879.81

and your movements and timing in the cerebellum.

Time: 4882.68

So it's an incredible structure that brings together

Time: 4884.69

timing of movements, which limbs are moving

Time: 4888.035

and has proprioceptive information.

Time: 4890.7

It really is a mini brain,

Time: 4892.61

it's just the coolest little structure back there.

Time: 4894.82

And in humans, it's actually not that little,

Time: 4896.44

it's just an incredible structure.

Time: 4898.75

Now, all this information is integrated there,

Time: 4901.87

but what most people don't tell us is that a lot of learning

Time: 4906.84

of motor sequences of skill learning that involves timing

Time: 4909.71

occurs in the cerebellum.

Time: 4912.21

Now, you can't really use that information

Time: 4915.16

except to know that after you learn something pretty well,

Time: 4917.63

it's handed off or kind of handled by your cerebellum,

Time: 4920.82

but there is something that you can do with your cerebellum

Time: 4922.71

to increase range of motion and flexibility.

Time: 4925.72

Much of our flexibility, believe it or not

Time: 4928.85

is not because our tendons are particular length

Time: 4932.5

or a elasticity, although that plays some role,

Time: 4936.53

it's not because our muscles are short.

Time: 4938.6

I don't know what that would even mean.

Time: 4940.03

Some people have longer muscle bellies

Time: 4942.15

or shorter muscle bellies, but your muscles always

Time: 4945.33

essentially span the entire length of the bone

Time: 4949.14

or limb or close to it, along with your tendons.

Time: 4952.52

But has to do with the neural innervation of muscle

Time: 4956.93

and the fact that when muscles are elongated,

Time: 4959.24

there's a point at which they won't stretch out

Time: 4961.96

any longer and the nerves fire, and they shut down

Time: 4965.68

that you actually have inhibitory pathways

Time: 4968.26

that prevent you from contracting the muscles

Time: 4971.16

or from extending them, from stretching them out any more.

Time: 4975

So you can do this right now.

Time: 4977.53

If you're driving, don't do it because unless you have

Time: 4980.573

a self-driving car, you'll need to take your hands

Time: 4982.251

off the steering.

Time: 4983.084

But because of the way that vision and your muscles

Time: 4990.11

are represented in your cerebellum,

Time: 4993.73

it turns out that your range of visual motion

Time: 4997.43

and your range of vision, literally how wide a field of view

Time: 5002.39

you take impacts how far you can extend your limbs.

Time: 5007.47

So we'll talk about this in a second

Time: 5011.12

exactly how to do this and explore this.

Time: 5013.61

But as you move through space, as you walk forward

Time: 5017.94

or you walk backward, or you tilt your head

Time: 5019.83

or you learn a skill, or you just operate in the normal ways

Time: 5022.78

throughout your day, driving, biking, et cetera,

Time: 5025.29

your eyes are generating spontaneous movements

Time: 5027.36

to offset visual slip.

Time: 5029.56

In other words, you don't see the world as blurry

Time: 5031.72

even though you're moving because your eyes

Time: 5033.85

are generating low compensatory eye movements

Time: 5035.84

to offset your motion.

Time: 5037.14

So if I spin, we could do this experiment.

Time: 5039.4

There's a fun experiment we do with medical students

Time: 5042.27

where you spin them around in a chair with their eyes closed

Time: 5045.66

and then you stop and you have them open their eyes

Time: 5048.43

and their eyes are going like this, is nystagmus.

Time: 5051.42

I don't suggest you do this experiment.

Time: 5053.75

When we were kids, we did a different experiment

Time: 5056.09

which was to take a stick and to look at the top

Time: 5058.78

of the stick and to spin around on the lawn

Time: 5061.4

looking at the top of the stick then put it down

Time: 5063.03

on the ground and try and jump over it.

Time: 5064.37

And you ended up like jumping to the side,

Time: 5065.73

you miss the thing entirely.

Time: 5067.46

The reason those two "experiments" which I hope you don't do

Time: 5073.847

or for somebody else to do.

Time: 5074.7

The reason they work is because normally your eye movements

Time: 5078.43

and your balance and your limb movements are coordinated.

Time: 5081.03

But when you spin around looking up at the stick,

Time: 5083.63

what you're doing is you're fixating your eyes

Time: 5085.35

on one location while you're moving.

Time: 5087.48

And then when you stop those two mechanisms

Time: 5089.91

are completely uncoupled and it's like being thrown

Time: 5093.18

into outer space.

Time: 5095.732

I've never been to outer space,

Time: 5096.565

but probably something like that, low gravity, zero gravity.

Time: 5100.21

If you spin around in your chair with your eyes closed,

Time: 5102.86

you're not giving the visual input that you're spinning.

Time: 5105.09

And then you open the eyes and then the eyes only have

Time: 5109.22

what we call the vestibular, your eyes jolting

Time: 5111.808

back and forth, back and forth.

Time: 5112.897

Again, these aren't experiments you need to do

Time: 5113.99

'cause I just told you the result.

Time: 5116.06

However, if you want to extend your range of motion,

Time: 5119.98

you can do that by...

Time: 5123.51

These things always look goofy, but at this point

Time: 5124.51

I'm just kind of used to doing these things.

Time: 5126.63

If I want to extend my range of movement,

Time: 5128.45

first, I want to measure my range of motion.

Time: 5131.98

If you're listening what I'm doing is I'm stretching out

Time: 5133.69

my arms like a T on either side

Time: 5137.55

and I'm trying to push them as far back as I can,

Time: 5140.35

which for me feels like it's in line with my shoulders

Time: 5143.07

and I can't get much further.

Time: 5144.04

I'm not really super flexible

Time: 5145.81

nor am I particularly inflexible at least physically.

Time: 5151.78

So what I would then do is stop.

Time: 5154.39

I would move my eyes to the far periphery.

Time: 5157.44

So I'm moving my eyes all the way to the left

Time: 5159.54

while keeping my head and body stationary.

Time: 5162.13

I'm trying to look over my left shoulder as far as I can

Time: 5165.81

then off to the right.

Time: 5167.92

It's a little awkward to do this, then up then down

Time: 5171.45

but I'm mostly going to just focus on left

Time: 5174.64

and then right.

Time: 5176.84

Now what that's doing is it's sending a signal

Time: 5179.53

to my cerebellum that my field of view is way over to there

Time: 5182.96

and way over to there.

Time: 5184.45

Remember your visual attention has an aperture.

Time: 5186.76

It can be narrow, or it can be broad.

Time: 5188.84

And I've talked about some of the benefits

Time: 5190.1

of taking a broad visual aperture

Time: 5191.68

in order to relax the nervous system.

Time: 5193.44

This is just moving my eyes, not my head,

Time: 5195.7

like I just did for a second, from side to side.

Time: 5197.88

Now I can retest.

Time: 5199.32

And actually you get about a five to 15 degree increase

Time: 5203.21

in your range of motion.

Time: 5204.66

Now I'm doing this for you.

Time: 5206.466

You can say, "Well, he gamed it 'cause he knew

Time: 5207.717

"the result that he was hoping for."

Time: 5209.57

But you can try this.

Time: 5211.16

And you can do this for legs too.

Time: 5213.71

You can do this for any limb essentially.

Time: 5215.45

And that's it's purely cerebellar.

Time: 5218.196

And it's because the proprioceptive visual

Time: 5221.3

and limb movement feedback converge

Time: 5225.681

in the ways that we control our muscle spindles

Time: 5228.39

and the way we control the muscle fibers and the tendons

Time: 5230.75

and essentially you can get bigger range of motion.

Time: 5233.604

So actually we'll warm up before exercise

Time: 5235.17

or before skill learning by both doing movements for my body

Time: 5238.26

but also moving my eyes from side to side

Time: 5240.29

in order to generate larger range of motion

Time: 5242.45

if range of motion is something that I'm interested in.

Time: 5244.85

So that's a fun one that you can play with a little bit

Time: 5248.28

and it's purely cerebellar.

Time: 5249.82

Some other time we'll get back into a cerebellar function.

Time: 5253.11

There's all sorts of just incredible stuff

Time: 5255.51

that you can do with cerebellum.

Time: 5257.25

I talked in an earlier episode on neuro-plasticity

Time: 5259.93

about how you can disrupt your vestibular world.

Time: 5264.18

In other words, by getting into modes of acceleration,

Time: 5269.37

moving through space where you're tilted in certain ways,

Time: 5273.283

it can open up the windows for plasticity

Time: 5274.98

and yet other ways.

Time: 5276.33

So you can check that out, it's one of the earlier episodes

Time: 5279.15

on neuroplasticity everything's timestamped.

Time: 5281.6

But meanwhile, if you want to expand your range of motion

Time: 5284.36

before doing skill learning or afterward, this is a fun one.

Time: 5287.52

It's also kind of neat because I have this kind of aversion

Time: 5291.06

to stretching work.

Time: 5292.24

It never seems like something I want to do

Time: 5294.21

and so I always put it off.

Time: 5295.74

So if I start with the visual practice of expanding

Time: 5299.65

my field of view to off to one side or the other side

Time: 5302.2

or up or down, then what I find is I'm naturally

Time: 5304.68

more flexible.

Time: 5305.513

I'm not naturally more flexible.

Time: 5306.76

What's happened is I've expanded my range of motion.

Time: 5309.57

Let's talk about visualization and mental rehearsal.

Time: 5314.09

I've been asked about this a lot,

Time: 5315.68

and I think it relates back to that kind of matrix

Time: 5319.18

Hollywood idea that we can just be embedded with a skill.

Time: 5323.13

Although in this case, in fairness,

Time: 5325.28

visualization involves some work.

Time: 5327.7

And I've talked about this on an earlier episode

Time: 5330.31

that some people find it very hard

Time: 5333.04

to mentally visualize things.

Time: 5336.13

And some people find it very easy.

Time: 5337.79

There was great work that was done in the 1960s

Time: 5340.66

by Roger Shepherd at Stanford and by others,

Time: 5344.96

looking at people's ability to rotate

Time: 5347.93

three-dimensional objects in their mind.

Time: 5350.31

And some people really good at this

Time: 5352.176

and some people are less good at this.

Time: 5353.009

And one can get better at it by repeating it.

Time: 5356.34

But the question we're going to deal with today

Time: 5358.13

is does it help, does it let you learn things faster?

Time: 5363.304

And indeed the answer appears to be yes, it can.

Time: 5366.78

However, despite what you've heard, it is not as good.

Time: 5371.44

It is not a total replacement

Time: 5373.84

for physical performance itself.

Time: 5377.68

So I'm going to be really concrete about this.

Time: 5379.91

I hear all the time that just imagining

Time: 5383.61

contracting a muscle can lead to the same gains

Time: 5386.49

as actually contracting that muscle.

Time: 5388.5

Just imagining a skill can lead to the same increases

Time: 5391.89

in performance as actually executing that skill.

Time: 5395.37

And that's simply not the case.

Time: 5397.78

However, it can supplement or support physical training

Time: 5402.36

and skill learning in ways that are quite powerful.

Time: 5405.39

One of the more interesting studies on this

Time: 5407.43

was from Rang Ganason at all,

Time: 5410.99

forgive me for the pronunciation.

Time: 5414.33

This was a slightly older paper, 2004,

Time: 5417.18

but nonetheless was one that I thought

Time: 5419.31

had particularly impressive results

Time: 5421.27

and included all the appropriate controls, et cetera.

Time: 5425.44

And what they did is they looked at 30 subjects.

Time: 5428.03

They divide them into different groups.

Time: 5430.46

They had one group perform essentially finger flection.

Time: 5434.48

So it actually sort of the imagine if you're just listening

Time: 5436.83

to this, the come here a finger movement.

Time: 5440.83

They also had elbow flection, so bicep curl type movement.

Time: 5445.02

And they either had subjects do a actual physical movement

Time: 5449.96

against resistance, or to imagine moving their finger

Time: 5453.69

or their wrist towards the shoulder,

Time: 5456.01

meaning at the bending at the elbow

Time: 5458.01

towards actual resistance.

Time: 5460.68

Just to make a long story short,

Time: 5462.33

what they found was that there were increases

Time: 5467

in this finger, adduction strength, abduction,

Time: 5469.87

excuse me, strength of about 35% and the elbow flection

Time: 5474.55

strength by about 13.5%, which are pretty impressive

Time: 5480.61

considering that was just done mentally.

Time: 5483.081

So they had people imagine moving against a weight,

Time: 5486.653

a very heavyweight or had imagined people moving their wrist

Time: 5490.49

towards their shoulder against a very heavyweight.

Time: 5493.52

But again, they weren't doing it,

Time: 5494.78

they were just imagining it.

Time: 5497.388

Other experiments looked at the brain

Time: 5499.49

and what was happening in the brain during this time.

Time: 5502.02

So we'll talk about that in a moment.

Time: 5504.11

But essentially what they found were improvements

Time: 5507.88

in strength of anywhere from 13.5 to 35%.

Time: 5513.13

However, the actual physical training group,

Time: 5516.53

the groups that actually moved their wrist

Time: 5519.08

or moved their finger against an actual physical weight

Time: 5522.56

had improvements of about 53%.

Time: 5525.34

So this repeats over and over throughout the literature

Time: 5529.01

mental rehearsal can cause increases in strength.

Time: 5533.15

It can create increases in skill acquisition and learning,

Time: 5538.37

but they are never as great if done alone

Time: 5542.43

as compared to the actual physical execution

Time: 5546.93

of those movements or the physical movement

Time: 5548.71

of those weights, which shouldn't come as so surprising.

Time: 5552.16

However, if we step back and we say,

Time: 5554.127

"Well, what is the source of this improvement?"

Time: 5557.68

You might not care what the source is

Time: 5559.786

because I could tell you it's one brain area

Time: 5561.535

or another brain area.

Time: 5562.627

What difference would it make?

Time: 5563.484

But again, if you can understand mechanism a little bit,

Time: 5565.46

you're in a position to create newer

Time: 5567.96

and even better protocols.

Time: 5569.96

What mental rehearsal appears to do is engage the activity

Time: 5574.3

of those upper motor neurons that we talked about

Time: 5576.47

way back at the beginning of the episode.

Time: 5578.81

Remember you have upper motor neurons

Time: 5580.26

that control deliberate action,

Time: 5581.89

you've got lower motor neurons that actually

Time: 5583.72

connect to the muscles and move those muscles

Time: 5585.44

and you have central pattern generators.

Time: 5587.34

Mental rehearsal, closing one's eyes typically

Time: 5590.2

and thinking about a particular sequence of movement

Time: 5593.25

and visualizing it in one's "mind's eye"

Time: 5598.3

creates activation of the upper motor neurons

Time: 5601.38

that's very similar if not the same as the actual movement.

Time: 5605.75

And that makes sense because the upper motor neurons

Time: 5608.05

are all about the command for movement.

Time: 5610.31

They are not the ones that actually execute the movement.

Time: 5614.15

Remember, upper motor neurons are the ones

Time: 5615.99

that generate the command for movement,

Time: 5617.61

not the actual movement.

Time: 5618.99

The ones that generate the actual movement

Time: 5620.63

are the lower motor neurons

Time: 5621.84

and the central pattern generators.

Time: 5623.96

So visualization is a powerful tool.

Time: 5626.57

How can you use visualization?

Time: 5628.68

Well, in this study, they had people perform this

Time: 5632.7

five days a week.

Time: 5635.556

I believe that it was 15.

Time: 5637.48

Yes, it was 15 minutes per day, five days a week

Time: 5640.84

for 12 weeks.

Time: 5641.7

So that's a lot of mental rehearsal.

Time: 5644.2

It's not a ton of time each day, 15 minutes per day.

Time: 5646.59

But sitting down, closing your eyes

Time: 5648.3

and imagining going through a particular skill practice

Time: 5653.14

or moving a weight.

Time: 5655.63

Maybe it's playing keys on a piano if that's your thing

Time: 5659.36

or strings on a guitar, for 15 minutes a day,

Time: 5662.61

five days per week for 12 weeks is considerable.

Time: 5665.61

I think most people, given the fact

Time: 5667.973

that the actual practice, the physical practice

Time: 5670.77

is going to lead to larger improvements,

Time: 5674.36

greater improvements then would the mental training

Time: 5677.35

would opt for the actual physical training.

Time: 5680.03

But of course, if you're on a plane

Time: 5681.84

and you don't have access to your guitar

Time: 5683.51

and you're certainly not going to be sprinting

Time: 5684.76

up and down the aisle or you are very serious

Time: 5688.25

about your craft and you want to accelerate performance

Time: 5692.327

of your craft or strength increases

Time: 5693.993

or something of that sort, then augmenting or adding in

Time: 5697.07

the visualization training very likely will compound

Time: 5700.75

the effects of the actual physical training.

Time: 5703.35

There are not a lot of studies looking at how visualization

Time: 5706.48

on top of pure physical training

Time: 5710.33

can increase the rates of learning

Time: 5713.58

and consolidation of learning, et cetera.

Time: 5716.21

It's actually a hard study to do because hard to control for

Time: 5718.9

because what would you do in its place.

Time: 5720.81

You would probably add actual physical training

Time: 5723.51

and then that's always going to lead to greater effects.

Time: 5726.56

So the point is if you want to use visualization training,

Time: 5730.31

great, but forget the idea that visualization training

Time: 5734.59

is as good as the actual behavior.

Time: 5737.76

You hear this all the time.

Time: 5738.75

People say, do you know that if you imagine an experience

Time: 5741.29

to your brain and to your body,

Time: 5742.77

it's exactly the same as the actual experience.

Time: 5745.09

Absolutely not.

Time: 5746.11

This is not the way the nervous system works.

Time: 5747.7

I'm sorry, I don't mean to burst anybody's bubble,

Time: 5749.76

but your bubble is made of myths.

Time: 5752.44

And the fact of the matter is that the brain,

Time: 5756.42

when it executes a movement is generating

Time: 5759.46

proprioceptive feedback.

Time: 5761.882

And that proprioceptive feedback is critically involved

Time: 5764.46

in generating our sense of the experience

Time: 5766.79

and in things like learning.

Time: 5768.67

So I don't say this because I don't like the idea

Time: 5772.81

that visualization couldn't work.

Time: 5774.26

In fact visualization does work,

Time: 5777.648

but it doesn't work as well,

Time: 5778.481

it doesn't create the same millu,

Time: 5780.6

the same chemical millu, the same environment

Time: 5783.36

as actual, physically engaging in the behavior,

Time: 5787.35

the skill the resistance training, et cetera.

Time: 5790.58

And I'd be willing to wager that the same is true

Time: 5792.52

for experiences of all kinds.

Time: 5796.013

PTSD is this incredibly unfortunate circumstance

Time: 5800.05

in which there's a replay often of the traumatic event

Time: 5803.67

that feels very real.

Time: 5805.51

But that's not to say that the replay itself

Time: 5807.64

is the same as the actual event.

Time: 5810.03

And of course, PTSD needs to be dealt with

Time: 5814.142

with the utmost level of seriousness, it should be treated.

Time: 5817.04

In fact, my lab works on these sorts of things,

Time: 5819.2

but my point about visualization and imagining something

Time: 5823.6

not being the same as the actual experience

Time: 5826.39

is grounded in this idea of proprioception.

Time: 5829

And the fact that feedback to the cerebellum,

Time: 5831.07

the cerebellum, talking to other areas of the brain

Time: 5832.83

are critically involved in communicating

Time: 5834.97

to the rest of our nervous system.

Time: 5836.41

That not just that we believe something is happening

Time: 5838.87

but something is actually happening.

Time: 5840.53

And in the case of muscle loads,

Time: 5842.31

muscles actually feeling tension,

Time: 5845.01

the actual feeling of tension in the muscle.

Time: 5848.5

The contracting of the muscle under that tension

Time: 5850.94

is part of the important adaptation process.

Time: 5854.41

In a future episode, we'll talk about hypertrophy

Time: 5856.5

and how that works at the level of upper motor neurons,

Time: 5858.65

lower motor neurons and muscle itself.

Time: 5861.03

But for now just know that visualization can work.

Time: 5864.1

It doesn't work as well as real physical training

Time: 5866.1

and practice, but these effects of 35%

Time: 5870.42

or 13.5% increases are pretty considerable.

Time: 5874.02

They're just not as great as the 53% increases

Time: 5876.97

that come from actual physical training.

Time: 5878.94

For those of you that are interested

Time: 5880.5

in some of this skill learning that more relates

Time: 5883.937

to musical training, but also how cadence and metronomes

Time: 5887.43

and tones, et cetera, can support physical learning.

Time: 5891.6

If you're interested in that, if are you a fussy and autos,

Time: 5894.71

there is a wonderful review, also published

Time: 5897.41

in the Journal Neuron again, excellent journal

Time: 5900.32

by Herholz and Zatorre, that's H-E-R-H-O-L-Z

Time: 5905.44

and Zatorre, Z-A-T-O-R-R-E.

Time: 5909.91

That really describes in detail how musical training

Time: 5915.43

can impact all sorts of different things

Time: 5917.66

and how cadence training, whether or not with tones

Time: 5921.62

or auditory feedback and things of that sort

Time: 5924.52

carries over to not just instrumental music training

Time: 5928.73

but also physical skill learning of various kinds.

Time: 5931.46

So if you want to do the deep dive,

Time: 5932.81

that would be the place you can find it easily online.

Time: 5935.05

It's available as a complete article

Time: 5937.01

free of charge, et cetera.

Time: 5938.78

Many of you are probably asking what can I take

Time: 5941.65

in order to accelerate skill learning?

Time: 5943.89

Well, the conditions are going to vary,

Time: 5946.22

but motivation is key.

Time: 5947.8

You have to show up to the training session

Time: 5949.53

motivated enough to focus your attention

Time: 5953.42

and to perform a lot of repetitions

Time: 5955.47

in the training sequence.

Time: 5957.23

That's just a prerequisite.

Time: 5959.37

There's no pill that's going to allow you to do

Time: 5960.76

fewer repetitions and extract more learning

Time: 5963.33

out of fewer repetitions.

Time: 5964.48

It's actually more a question of what are the conditions

Time: 5967.38

that you can create for yourself such that you can generate

Time: 5970.87

more repetitions per unit time.

Time: 5972.62

I think that's the right way to think about it.

Time: 5975.154

What are the conditions that you can create

Time: 5976.41

for yourself in your mind and in your body

Time: 5978.19

that are going to allow you to focus?

Time: 5980.6

And I've talked about focus and plasticity

Time: 5982.9

and motivation in previous episodes.

Time: 5984.61

Please see those episodes if you have questions about that.

Time: 5987.38

I've detailed a lot of tools in the underlying science.

Time: 5990.24

So for some people, it might be drinking a cup of coffee

Time: 5992.96

and getting hydrated before the training session.

Time: 5994.91

For some of you, it might be avoiding coffee

Time: 5996.81

because it makes you too jittery

Time: 5997.9

and your attention jumps all over the place.

Time: 5999.62

It's going to vary tremendously.

Time: 6002.18

There is no magic pill that's going to allow you

Time: 6004.42

to get more out of less, that's just not going to happen.

Time: 6007.72

It's simply not going to happen.

Time: 6009.15

You're not going to get more learning

Time: 6010.58

out of fewer repetitions or less time.

Time: 6012.98

However, there are a few compounds

Time: 6015.89

I think are worth mentioning because of their ability

Time: 6020.36

to improve the actual physical performance,

Time: 6022.64

the actual execution of certain types of movements.

Time: 6025.64

And some of these have also been shown

Time: 6027.68

to improve cognitive function,

Time: 6029.66

especially in older population.

Time: 6031.49

So I'd be remiss if I didn't at least mention them.

Time: 6034.07

I'm only going to mention one today in fact.

Time: 6037.459

The one that's particularly interesting

Time: 6038.31

and for which there really are a lot of data is alpha GPC

Time: 6042.43

and I'm going to attempt to pronounce

Time: 6045.84

what alpha GPC actually is.

Time: 6047.43

It's alpha glycerylphosphorylcholine.

Time: 6050.84

Alpha GPC, alpha glycerylphosphorylcholine.

Time: 6053.97

See, if I keep doing it over and over repetitions,

Time: 6055.87

alpha glycerylphosphorylcholine.

Time: 6058.128

There I made an error.

Time: 6058.961

Okay, so the point is that alpha GPC,

Time: 6062.47

which is at least in the United States

Time: 6064.1

is sold over the counter typically is taken in dosages

Time: 6068.77

of about 300 to 600 milligrams.

Time: 6071.66

That's a single dose or have been shown to do

Time: 6074.42

a number of things that for some of you might be beneficial.

Time: 6078.04

One is to enhance power output.

Time: 6079.85

So if you're engaging in something like Shotput throwing

Time: 6082.49

or resistance training or sprinting

Time: 6085.47

or something where you have to generate a lot of power,

Time: 6088.1

maybe you're doing rock climbing, but you're working

Time: 6090.7

on a particular aspect of your rock climbing

Time: 6092.55

that involves generating a lot of force, a lot of power.

Time: 6096.19

Well then in theory, alpha GPC could be beneficial to you.

Time: 6100.7

For the cognitive effects, the dosages are much higher

Time: 6104.29

up to 1200 milligrams daily divided into three doses

Time: 6107.99

of 400 milligrams is what the studies

Time: 6109.73

that I was able to find show or used.

Time: 6112.19

The effects on cognitive decline are described as notable.

Time: 6116.56

Notable, meaning several studies showed a significant

Time: 6119.58

but modest effect on in offsetting cognitive decline,

Time: 6124.425

in particular in older populations

Time: 6126.58

and some populations, even with some reported

Time: 6129.61

neuro degeneration.

Time: 6131.32

Power output was notable.

Time: 6133.73

How notable, what does that mean, notable?

Time: 6137.09

A study noted a 14% increase in power output.

Time: 6141.88

That's pretty substantial, 14%.

Time: 6145.315

And if you think about it, but it wasn't like a doubling

Time: 6146.81

or something of that sort.

Time: 6148.02

Believe it or not, the symptoms of Alzheimer's

Time: 6149.89

have been shown at least among the nutraceuticals

Time: 6153.64

of which alpha GPC is to significantly improve cognition

Time: 6157.21

in people with Alzheimer's.

Time: 6158.06

Now this episode, isn't about cognitive decline

Time: 6160.02

and longevity, we will talk about that,

Time: 6161.99

but this is a so-called another effect of alpha GPC.

Time: 6167.64

Fat oxidation is increased by alpha GPC,

Time: 6171.08

growth hormone release is promoted by alpha GPC

Time: 6175.99

although to a small degree.

Time: 6177.09

So as you can see, things like alpha GPC in particular

Time: 6181.9

when they are combined with low levels of caffeine

Time: 6184.6

can have these effects of improving power output,

Time: 6187.24

can improve growth hormone release,

Time: 6189.3

can improve fat oxidation.

Time: 6190.77

All these things in theory can support skill learning.

Time: 6194.89

But what they're really doing is they're adjusting

Time: 6197.08

the foundation upon which you are going to execute

Time: 6199.81

these many, many repetitions.

Time: 6202.06

The same thing would be said for caffeine itself.

Time: 6204.64

If that's something that motivates you

Time: 6206.22

and gets you out of a chair to actually do

Time: 6207.72

the physical training, then that's something

Time: 6210.04

that can perhaps improve or enhance

Time: 6213.03

the rate of skill learning

Time: 6214.27

and how well you retain those skills.

Time: 6216.83

Now on a previous episode I talked about,

Time: 6220.017

and this was the episode on epinephrin on adrenaline.

Time: 6223.91

I talked about how for mental, for cognitive learning,

Time: 6227.6

it makes sense to spike epinephrin,

Time: 6230.88

to bump epinephrin levels up adrenaline levels up

Time: 6235.19

after cognitive learning.

Time: 6237.06

For physical learning, it appears to be the opposite

Time: 6239.93

that if caffeine is in your practice

Time: 6242.69

or if you decide to try alpha GPC

Time: 6245.24

that you would want to do that before the training,

Time: 6247.45

take it before the training use it.

Time: 6250.42

Its effect should extend into the training,

Time: 6251.64

presumably throughout, and then afterward

Time: 6254.29

if you're thinking about following some of the protocols

Time: 6256.32

that we discussed today, that you would use

Time: 6258.95

some sort of idle time where the brain can replay

Time: 6261.69

these motor sequences in reverse.

Time: 6263.59

And then of course, you want to do things

Time: 6265.401

that optimize your sleep.

Time: 6266.4

A lot of the questions I get are about how different

Time: 6269.49

protocols and things that I described

Time: 6271.15

start to collide with one another.

Time: 6272.74

So let's say for instance, you go to bed at 10:30

Time: 6275.41

and you're going to do your skill training at 9:30,

Time: 6279.81

well, taking a lot of caffeine then is not going to be

Time: 6282.61

a good idea 'cause it's going to compromise your sleep.

Time: 6284.7

So I'm not here to design the perfect schedule for you

Time: 6288.27

because everyone's situation's vary.

Time: 6290.45

So the things to optimize are repetitions, failures,

Time: 6295.67

more repetitions, more failures at the offset of training.

Time: 6300.35

Having some idle time that can be straight into sleep

Time: 6302.95

or it could be simply letting the brain just go idle

Time: 6306.42

for five to 10 minutes, mean not focusing on anything,

Time: 6309.38

not scrolling, social media, not emailing,

Time: 6311.87

not ideally not even talking to somebody just lying down

Time: 6314.53

or sitting quietly with your eyes closed

Time: 6316.3

letting those motor sequences replay.

Time: 6318.82

Then we talked about how one can come back

Time: 6321.9

for additional training sessions,

Time: 6323.76

use things like metronoming where you're queuing

Time: 6326.13

your attention to some external cue, some stimulus,

Time: 6330.07

in this case, an auditory stimulus most likely

Time: 6332.42

and trying to generate more repetitions per unit time.

Time: 6334.76

So again, it's repetitions and errors, that's key.

Time: 6338.65

And then we also talked about some things

Time: 6340.12

that you can do involving cerebellar neurophysiology

Time: 6342.8

to extend range of motion if that's what's limiting for you

Time: 6345.97

or to use visualization to augment the practice

Time: 6349.88

or let's say your particular skill involves nice weather

Time: 6353.74

and it's raining or snowing outside

Time: 6355.33

and you can't get outside or thunderstorm,

Time: 6357.27

then that's where visualization training

Time: 6359.19

might be a good replacement under those conditions.

Time: 6362.02

Or in most cases is going to be the kind of thing

Time: 6364.51

that you're going to want to do

Time: 6365.44

in addition to the actual physical skill

Time: 6368.13

or strength training session done,

Time: 6370.89

at least in the study that we described

Time: 6372.42

for 15 minutes a day, five days a week

Time: 6376.24

over a period of 10 to 12 weeks or so.

Time: 6379.25

So hopefully that makes it clear.

Time: 6380.83

Today we've covered a lot of mechanism.

Time: 6383.37

We talked so much about the different motor pathway,

Time: 6386.27

central pattern generator.

Time: 6387.5

So you now are armed with a lot of information

Time: 6391.58

about how you generate movement.

Time: 6393.4

And I like to think that you're also armed

Time: 6395.76

with a lot of information about how to design protocols

Time: 6398.93

that are optimized for you or if you're a coach,

Time: 6403.966

for your trainees in order to optimize

Time: 6406.17

their learning of skills various kinds.

Time: 6409.43

Today we focused almost entirely on motor skills,

Time: 6413.09

things like musical skills or physical skills.

Time: 6415.74

These have some overlap, they're partially overlapping

Time: 6418.88

with neuroplasticity, for learning things like languages

Time: 6422.08

or math or engineering or neuroscience for that matter.

Time: 6426.61

Before we depart, I just want to make sure

Time: 6429.53

that I return to a concept, which is the ultradian cycle.

Time: 6433.36

Ultradian cycles are these 90 minute cycles

Time: 6435.51

that we go through throughout sleep and wakefulness

Time: 6437.24

that are optimal for learning and attention.

Time: 6439.95

In the waking state, they are the stages of sleep

Time: 6446.006

in which we have either predominantly slowey sleep

Time: 6446.839

or rem sleep.

Time: 6447.94

Some of you who have been following this podcast

Time: 6449.8

for a while might be asking, well should a physical practice

Time: 6452.95

be 90 minutes.

Time: 6455.33

That's going to depend because with physical practices,

Time: 6458.16

oftentimes for instance, with strength training,

Time: 6460.37

that might be too long.

Time: 6461.51

You're not going to be able to generate enough force output

Time: 6464.02

for it to be worthwhile.

Time: 6465.47

For golfing, I don't know.

Time: 6466.67

I've never played golf with all my friends that play golf,

Time: 6468.53

they disappear onto the golf course for many hours.

Time: 6470.64

So I know there's a lot of walking and driving

Time: 6473.71

and other stuff, I even hear that somebody

Time: 6475.77

carries your stuff around for you sometimes, not always.

Time: 6480.13

But it's going to differ.

Time: 6482.75

A four hour golf game, you're probably not swinging

Time: 6485.32

the golf club for four hours, so it's going to depend.

Time: 6487.6

I would say that the ultradian cycle is not necessarily

Time: 6492.02

a good constraint for skill learning in most cases.

Time: 6495.51

And I should say that for those of you that are short

Time: 6497.95

on time or have limited amounts of time,

Time: 6500.35

10 minutes of maximum repetitions,

Time: 6502.19

maximum focus skill learning work is going

Time: 6504.52

to be very beneficial.

Time: 6506.8

Whereas two hours of kind of haphazard

Time: 6509.85

not really focused work or where you're not generating

Time: 6513.56

very many repetitions 'cause you're doing

Time: 6515.34

few repetitions then you're texting on your phone

Time: 6517.39

or pay attention to something else,

Time: 6518.55

that's not going to be beneficial.

Time: 6520.18

It's really about the density of training

Time: 6522.35

inside of a session.

Time: 6523.23

So I think you should let the...

Time: 6525.3

Work toward maximal or near maximum density

Time: 6527.96

of repetitions and failures provided they're failures

Time: 6531.01

you can perform safely in order to accelerate skill learning

Time: 6534.59

and don't let some arbitrary or in this case,

Time: 6537.52

the ultradian constraint prevent you

Time: 6540.04

from engaging in that practice.

Time: 6541.37

In other words, get the work in, get as much work done

Time: 6543.53

as you can per unit time.

Time: 6545.22

And based on the science, based on things that I've seen,

Time: 6548.24

based on things that I'm now involved in

Time: 6550.3

with various communities, you will see the skill improve

Time: 6554.42

vastly at various stages.

Time: 6556.61

Sometimes it's a little bit stutter start,

Time: 6558.17

it's not always a linear improvement

Time: 6560.81

but you will see incredible improvement in skill.

Time: 6563.6

If you're enjoying this podcast

Time: 6565.05

and you're finding the information interesting

Time: 6567.08

and or of use to you, please subscribe on YouTube.

Time: 6570.6

That really helps us.

Time: 6572.01

As well, please subscribe and download the episodes

Time: 6574.42

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Time: 6577.05

On Apple, you also have the opportunity to leave us

Time: 6579.52

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Time: 6582.82

And on YouTube, please hit the thumbs up button

Time: 6585.74

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Time: 6589.17

Place your feedback in the comment section.

Time: 6591.7

That's a place to tell us how we're doing

Time: 6593.97

but also to ask us questions.

Time: 6596.25

We read all the comments.

Time: 6597.86

It takes us some time to work through them,

Time: 6599.9

but we read all of them and we use your comments

Time: 6602.19

and your feedback to sculpt the content

Time: 6604.95

and the direction of future episodes.

Time: 6607.46

As well, please check out our sponsors.

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The sponsors that we mentioned at the beginning

Time: 6611.27

of each podcast episode are really important

Time: 6613.72

in order to support our production team.

Time: 6615.86

And as well, we have a Patreon.

Time: 6617.98

It's patreon.com/andrewhuberman.

Time: 6620.77

There, you can support us at any level that you like.

Time: 6623.62

In previous episodes and in this episode,

Time: 6625.69

I mentioned some supplements.

Time: 6627.33

Supplements certainly have their place for various things.

Time: 6631.28

They aren't necessary, but many people, including myself

Time: 6633.81

derive benefit from supplements

Time: 6635.65

for things like improving sleep and immune system function

Time: 6638.7

and learning and so forth.

Time: 6640.57

If you're interested in seeing the supplements that I take,

Time: 6642.77

you can go to thorne.com/u,

Time: 6646.14

that's the letter U slash Huberman

Time: 6648.5

and you can see the supplements that I take.

Time: 6650.74

If you want to try any of those supplements,

Time: 6653.102

you can get 20% off simply by accessing the Thorne webpage

Time: 6656.7

through that portal, as well as 20% off

Time: 6659.09

any of the other supplements that Thorne makes.

Time: 6661.56

The reason we've partnered with Thorne

Time: 6663.06

is because Thorne has the very highest levels of stringency

Time: 6665.92

in terms of the quality of the supplements

Time: 6668.58

and the accuracy about the amounts of each supplement

Time: 6671.69

that are in the bottle.

Time: 6672.523

One of the major problems in the supplement industry

Time: 6675

is that when supplements get tested,

Time: 6677.07

often it's the case that the amount of a given ingredient

Time: 6681.12

is far lower or far greater than what's reported

Time: 6684.66

on the bottle.

Time: 6685.493

That's not the case for Thorne.

Time: 6686.84

Thorne has very high levels of stringency,

Time: 6689.79

they partnered with the Mayo Clinic

Time: 6691.32

and all the major sports teams

Time: 6692.77

and that's why we partnered with them as well.

Time: 6694.75

So if you want to check those out again,

Time: 6696.23

it's Thorne, T-H-O-R-N-E slash the letter U/Huberman

Time: 6701.22

to get 20% off any of the supplements that Thorne makes.

Time: 6705.15

And last but not least, I want to thank you

Time: 6707.06

for your time and attention.

Time: 6708.64

I very much appreciate your interest in neuroscience

Time: 6711.24

and in physiology and in tools that are informed

Time: 6714.18

by neuroscience and physiology.

Time: 6716.2

Today, we talked all about skill learning.

Time: 6718.85

I hope that you'll consider the information,

Time: 6721

you might even decide to try some of these tools.

Time: 6722.81

If you do, please let us know your results with them.

Time: 6725.43

Give us feedback in the comments

Time: 6727.12

and as always, thank you for your interest in science.

Time: 6730.313

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