WEBVTT - Ep38 "Why is it hard to teach an old brain new tricks?"

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<v Speaker 1>Why does Arnold Schwarzenegger have an accent but Milakunis doesn't.

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<v Speaker 1>And why is there a correlation between how tall a

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<v Speaker 1>person is and how much his salary is likely to

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<v Speaker 1>be Why does an elderly person have a hard time

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<v Speaker 1>learning a new language but no trouble learning the name

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<v Speaker 1>and face of a new movie star. What would we

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<v Speaker 1>mean by saying that you are born as many people

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<v Speaker 1>but die as a single one. Welcome to the inner

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<v Speaker 1>cosmos with me, David Eagleman. I'm a neuroscientist and author

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<v Speaker 1>at Stanford, and in these episodes we sail deeply into

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<v Speaker 1>our three pound universe to understand why and how our

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<v Speaker 1>lives look the way they do. Today's episode is about

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<v Speaker 1>brain plasticity, which is the ability of the brain to

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<v Speaker 1>modify itself and how this changes throughout your lifetime. So

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<v Speaker 1>we're going to address why it is harder to teach

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<v Speaker 1>an old dog new tricks and ask whether that is

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<v Speaker 1>always true. So let's start fifty years ago. There was

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<v Speaker 1>a psychologist named Hans Lucas Touber at Mit and he

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<v Speaker 1>got curious about what had happened to soldiers who had

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<v Speaker 1>sustained head injuries in World War two. Now, this was

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<v Speaker 1>in the nineteen seventies, so the war had been almost

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<v Speaker 1>thirty years earlier. So he tracked down five hundred and

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<v Speaker 1>twenty men who had sustained brain damage during the battles,

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<v Speaker 1>and some had fared well in their recovery, but others

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<v Speaker 1>didn't have such good outcomes, and Toyber wanted to understand

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<v Speaker 1>what the difference was. So he scoured all the records

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<v Speaker 1>and he looked for the things that correlated with good

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<v Speaker 1>outcomes and bad outcomes. And you know what he found.

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<v Speaker 1>The younger the soldier was when he got the head injury,

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<v Speaker 1>the better he was now. And the older the soldier,

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<v Speaker 1>the more permanent the damage. Why it's because younger brains

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<v Speaker 1>are more flexible. There's more brain plasticity, which means the

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<v Speaker 1>ability of the circuitry to reconfigure itself, and so if

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<v Speaker 1>there's damage, a young brain can do what it needs

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<v Speaker 1>to to rewrite its circuitry and get itself back on track.

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<v Speaker 1>Now you know that I love analogies, So here's Today's

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<v Speaker 1>brains are like a map of Europe where you look

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<v Speaker 1>at the borders between the countries. So think of a

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<v Speaker 1>young brain like Europe five thousand years ago, and if

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<v Speaker 1>you can imagine different historical trajectories that could have happened,

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<v Speaker 1>the borders could have evolved in many ways. There's nothing

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<v Speaker 1>fundamental about where the borders between the countries sit today,

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<v Speaker 1>But today, after millennia of human history, the maps are

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<v Speaker 1>more settled into place. Now that humans have had centuries

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<v Speaker 1>to clang swords and discharge rifles, you get these territory

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<v Speaker 1>borders that are kind of stubborn to change. So think

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<v Speaker 1>of the borders between France and Italy and Switzerland. These

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<v Speaker 1>are totally arbitrary lines, but they're not likely to change

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<v Speaker 1>now because you don't have roving bands of marauders anymore

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<v Speaker 1>or bearded conquerors leading big horse armies. These things have

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<v Speaker 1>been replaced with the United Nations and international rules of engagement,

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<v Speaker 1>and economies have gotten increased seemly dependent on information and

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<v Speaker 1>expertise rather than on treasures that you can go pillage.

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<v Speaker 1>So even in the face of trade arguments and immigration debates,

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<v Speaker 1>the boundaries between European countries are really hard to move.

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<v Speaker 1>For the most part, the nations have settled into place,

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<v Speaker 1>so the land mass began with lots of possibilities for

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<v Speaker 1>where the borders sat essentially infinite possibility, but with time

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<v Speaker 1>the potential has narrowed, the map solidified into place, and

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<v Speaker 1>now it's not so easy to make big changes. The

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<v Speaker 1>brain matures like Europe through years of border disputes within

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<v Speaker 1>neural networks, the maps become increasingly solidified. So as a result,

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<v Speaker 1>brain injury is really dangerous for the elderly, but it's

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<v Speaker 1>less dangerous for the young because an older brain can't

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<v Speaker 1>easily reassign settled territories for new tasks. But a brain

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<v Speaker 1>that's at the dawn of its wars can still reimagine

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<v Speaker 1>its maps. Okay, so think about the trajectory of a

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<v Speaker 1>human life. So imagine a young baby born somewhere sometime.

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<v Speaker 1>When she's first born. Her brain has unbelievable flexibility wherever

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<v Speaker 1>and whenever she drops out of the womb. She will

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<v Speaker 1>soak up the local language. She'll pick up on the

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<v Speaker 1>subtle details of her culture and what to wear and

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<v Speaker 1>how to act. She will absorb the local religious beliefs.

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<v Speaker 1>She'll learn all of the rules around her. She'll learn

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<v Speaker 1>how to gather massive amounts of information, and depending on

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<v Speaker 1>her generation, that might be by unrolling a scroll or

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<v Speaker 1>flipping through the pages of a book or swiping the

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<v Speaker 1>screen of a small rectangle. But by the time she's grown,

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<v Speaker 1>that story of flexibility has changed somewhat. Her brain isn't

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<v Speaker 1>so flexible now. She belongs to a particular political party,

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<v Speaker 1>and she's unlikely to change. She plays the piano reasonably well,

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<v Speaker 1>but she doesn't have any particular interest in studying violin

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<v Speaker 1>or other instruments. She likes to cook, and all of

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<v Speaker 1>her dishes exploit combinations of the fourteen ingredients that she

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<v Speaker 1>is used to. She spends her online time with a

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<v Speaker 1>vanishingly small fraction of the billions of available web pages.

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<v Speaker 1>She has a respectable golf game, but she doesn't have

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<v Speaker 1>any curiosity about other sports. She lives in a city

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<v Speaker 1>of eight million people, but she only has three close friends.

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<v Speaker 1>She isn't particularly interested in the science that she didn't

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<v Speaker 1>already learn in school. When she goes to the store,

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<v Speaker 1>she passes racks of shirts until she finds the kind

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<v Speaker 1>that she always wears, and she selects two of them

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<v Speaker 1>in her standard colors. Her haircut is the same as

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<v Speaker 1>it was since she was a teenager. Okay, so this

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<v Speaker 1>sort of life trajectory underscores a general point, and we've

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<v Speaker 1>all seen this before, which is that babies are born

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<v Speaker 1>with not many built in skills, and they have a

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<v Speaker 1>ton of plasticity. They can learn anything, while adults have

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<v Speaker 1>mastered specific tasks, but at the expense of flexibility. So

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<v Speaker 1>there's a trade off between adaptability and efficiency. So as

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<v Speaker 1>your brain gets good at certain jobs, it becomes less

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<v Speaker 1>able to tackle others. Now, just to be clear, this

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<v Speaker 1>is not to say that adam dults aren't intelligent. In fact,

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<v Speaker 1>it's just the opposite. An adult can do all kinds

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<v Speaker 1>of things that a baby can't. An adult can run

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<v Speaker 1>a company, or fix an air conditioner, or plan a

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<v Speaker 1>business takeover precisely because the adult's brain understands things about

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<v Speaker 1>the functioning of the world that a child's brain just

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<v Speaker 1>can't understand. So the way we capture this concept is

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<v Speaker 1>to say that the baby's brain has fluid intelligence, meaning

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<v Speaker 1>they can learn anything, while adult brains have crystallized intelligence. So,

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<v Speaker 1>for example, a few episodes ago, I mentioned a story

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<v Speaker 1>about the violinist Yittsawk Pearlman, in which a fan told

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<v Speaker 1>him that he would give his life to play like that,

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<v Speaker 1>and Pearlman said, I did what Pearlman was pointing to

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<v Speaker 1>is a fact of life. To get good at one

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<v Speaker 1>thing is to close the door on other things. So

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<v Speaker 1>Pearlman went from presumably being able to tackle any instrument

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<v Speaker 1>to being superlative at one at the expense of everything else.

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<v Speaker 1>It's unlikely that Pearlman could also be a professional baseball

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<v Speaker 1>player in the same lifetime. Why because you have only

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<v Speaker 1>one single life, and what you devote yourself to sends

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<v Speaker 1>you down particular roads. But that means that all the

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<v Speaker 1>other roads will forever remain untrodden by you. And this

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<v Speaker 1>is what the philosopher Martin Heidegger was pointing to when

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<v Speaker 1>he said, quote every man is born as many men

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<v Speaker 1>and dies as a single one end quote. You're born

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<v Speaker 1>with lots of possibility, but when you die, you are

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<v Speaker 1>just the limited you. Now, from the point of view

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<v Speaker 1>of your neural networks, what does it mean to descend

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<v Speaker 1>into pattern and habit? So here's another analogy to help

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<v Speaker 1>us picture this. Imagine two villages a few miles apart.

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<v Speaker 1>So people interested in going from one settlement over to

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<v Speaker 1>the other one, they take all possible paths. Some travelers

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<v Speaker 1>walk the scenic route along the ridgetops, but others prefer

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<v Speaker 1>the shade of the cliff side, and some people move

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<v Speaker 1>among the slippery rocks by the river, and others take

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<v Speaker 1>the riskier but faster route through the woods. Okay, with

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<v Speaker 1>time and experience, one route ends up proving more popular.

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<v Speaker 1>Maybe it makes better sense or it's faster. But eventually

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<v Speaker 1>that path becomes grooved where the most people have walked,

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<v Speaker 1>and it starts to become the standard. After some years

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<v Speaker 1>go by, the local government lays down roadways, and after

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<v Speaker 1>a few decades that expands into highways, and now the

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<v Speaker 1>way to get from here to there is really nailed down.

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<v Speaker 1>So you started with broad optionality, but eventually that gets

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<v Speaker 1>reduced to the standard path. And this is what happens

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<v Speaker 1>inside brains. They begin with almost infinite possible routes through

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<v Speaker 1>the neural networks, but with time the practiced pathways become

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<v Speaker 1>difficult to exit, the unused paths become thinned away. So

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<v Speaker 1>through decades of experience, the brain comes to physically represent

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<v Speaker 1>your world, and your decisions follow the remaining hard paved paths.

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<v Speaker 1>I mean, just think about what it would be like

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<v Speaker 1>if you were born with your genes and your brain

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<v Speaker 1>in a different part of the world. Maybe a different

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<v Speaker 1>generation a thousand years ago or maybe a thousand years

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<v Speaker 1>from now. You would function and thrive in whatever environment

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<v Speaker 1>you drop into, but you'd speak a totally different language,

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<v Speaker 1>you'd have a different religion, you would believe different things

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<v Speaker 1>about the world. But as it happens to have turned out,

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<v Speaker 1>you were born in your hometown, and you grew up

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<v Speaker 1>with your language and your parents, and so all of

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<v Speaker 1>the us that could have been ended up getting thinned away.

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<v Speaker 1>Now that might sound sad to lose the optionality, but

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<v Speaker 1>the upside of a solidifying brain is that you end

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<v Speaker 1>up with lightning fast ways of solving problems. Now, the

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<v Speaker 1>downside is that it's harder to attack new problems with wild,

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<v Speaker 1>unstructured inventiveness. Now, from the neuroscience point of view, there's

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<v Speaker 1>also a second reason why older brains are less flexible,

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<v Speaker 1>and this is beyond the diminishing optionality in the pathways issue.

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<v Speaker 1>When older brains make changes, they do so only in

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<v Speaker 1>small spots. In contrast, baby's brains modify across vast territories,

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<v Speaker 1>and this is because of chemicals in the brain called

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<v Speaker 1>neurotransmitters that are broadcast broadly in a baby's brain, So

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<v Speaker 1>in an infant brain, these chemicals like acetylcholine. They transmit

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<v Speaker 1>announcements throughout the brain, saying, Hey, something important just happen,

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<v Speaker 1>And this allows pathways and connections to change and modify.

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<v Speaker 1>So a baby's brain is changeable throughout its territory, and

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<v Speaker 1>over years its understanding of the world comes into focus

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<v Speaker 1>like a polaroid photograph. But an adult brain changes only

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<v Speaker 1>little bits at a time. It keeps most of its

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<v Speaker 1>connections locked into place to hold on to what has

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<v Speaker 1>been learned, and only small areas are made flexible via

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<v Speaker 1>a combination lock of the right neurotransmitters. So an adult

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<v Speaker 1>brain is like a point to list artist who modifies

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<v Speaker 1>the color of only a few dots in an almost

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<v Speaker 1>finished painting. Now you might wonder what does it feel

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<v Speaker 1>like to be inside the massively flexible brain of a baby.

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<v Speaker 1>I mean, we were all there as infants, but we

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<v Speaker 1>can't remember that. So what is it like to be

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<v Speaker 1>so plastic, so uninhibited and learning about a wide range

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<v Speaker 1>of novel events. Well, you can probably get close to

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<v Speaker 1>understanding it by considering other situations in your life in

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<v Speaker 1>which your awareness plasticity are firing on all cylinders. So

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<v Speaker 1>when you are traveling in a new land. You drink

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<v Speaker 1>in all the sights and sounds and smells of the

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<v Speaker 1>foreign country. You are experiencing lots of novelty and more

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<v Speaker 1>learning and more distributed attention. After all, at home, you

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<v Speaker 1>don't pay much attention to much of anything going on.

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<v Speaker 1>Why because it's predictable. You know what to expect there.

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<v Speaker 1>But when you're the traveler, you overflow with attention and

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<v Speaker 1>your brain is changing much more. So think about it

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<v Speaker 1>like this. When you are highly engaged and paying attention,

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<v Speaker 1>you are like a baby again. So the difference is

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<v Speaker 1>between a baby's very fluid brain and an adult's crystallized brain.

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<v Speaker 1>This is easy to into it, but the neural transition

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<v Speaker 1>from one to the other does happened in a smooth line. Instead,

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<v Speaker 1>it's like a door that swings closed and once it shuts,

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<v Speaker 1>large scale change is over. And this is the concept

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<v Speaker 1>of this sensitive period. So to understand the sensitive period,

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<v Speaker 1>consider an infant named Matthew, who is from my hometown.

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<v Speaker 1>He started having epileptic seizures as a very young boy,

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<v Speaker 1>and by the time he was six, these seizures were

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<v Speaker 1>happening with increasing frequency, so he could be having multiple

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<v Speaker 1>seizures in an hour, and his parents tried everything they

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<v Speaker 1>could do to figure out what is going on here,

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<v Speaker 1>and they finally found out that he had something called

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<v Speaker 1>Rasmussen's encephalitis, which is an inflammation that affects an entire

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<v Speaker 1>half of his brain. And so they searched everywhere for

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<v Speaker 1>a solution, and they came to find out that really

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<v Speaker 1>the only solution is a radical neurosurgery called a hemispherectomy.

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<v Speaker 1>And in this surgery, an entire half of the brain

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<v Speaker 1>is removed, just taken out, and that empty half of

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<v Speaker 1>the skull fills up with cerebra spinal fluid, and if

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<v Speaker 1>you do brain imaging, what you see is just blackness

0:17:19.720 --> 0:17:23.080
<v Speaker 1>in that half of the head. Now, this is a

0:17:23.160 --> 0:17:26.000
<v Speaker 1>horrifying thing for a parent to put their child through.

0:17:26.280 --> 0:17:29.840
<v Speaker 1>But the completely amazing thing is that kids who get

0:17:29.840 --> 0:17:34.360
<v Speaker 1>the surgery generally turn out to be just fine. They

0:17:34.400 --> 0:17:37.480
<v Speaker 1>sometimes have a slight limp on the other side of

0:17:37.520 --> 0:17:39.760
<v Speaker 1>their body because the left side of the body is

0:17:39.800 --> 0:17:42.280
<v Speaker 1>controlled by the right side of the brain and vice versa,

0:17:42.400 --> 0:17:45.240
<v Speaker 1>but other than that, they don't have any particular signs

0:17:45.280 --> 0:17:48.600
<v Speaker 1>that tell anyone that they only have half of their

0:17:48.640 --> 0:18:07.920
<v Speaker 1>brain remaining. Now I'm going to talk more about hemispherectomy

0:18:08.000 --> 0:18:09.760
<v Speaker 1>is in a future episode. But the thing I want

0:18:09.760 --> 0:18:13.600
<v Speaker 1>to emphasize here is that this kind of surgery is

0:18:13.960 --> 0:18:17.520
<v Speaker 1>recommended only if the patient is less than let's say

0:18:17.600 --> 0:18:20.960
<v Speaker 1>eight years old. Matthew was six when he went under

0:18:21.000 --> 0:18:24.160
<v Speaker 1>the knife, which is nearing old age for this surgery.

0:18:24.480 --> 0:18:28.159
<v Speaker 1>If a child is older, let's say an adolescent, he

0:18:28.240 --> 0:18:31.720
<v Speaker 1>will have to function in life by bending tasks to

0:18:31.800 --> 0:18:35.320
<v Speaker 1>fit what his brain can do, rather than counting on

0:18:35.400 --> 0:18:39.960
<v Speaker 1>his brain to adapt to the tasks. So the thing

0:18:40.040 --> 0:18:42.600
<v Speaker 1>to note here is that there is a door that

0:18:42.720 --> 0:18:46.320
<v Speaker 1>closes at about eight years old, where your brain before

0:18:46.359 --> 0:18:49.040
<v Speaker 1>that is so flexible that even if it only has

0:18:49.560 --> 0:18:53.600
<v Speaker 1>half the real estate available, it can readjust to take

0:18:53.640 --> 0:18:57.280
<v Speaker 1>care of all the functions that it needs. Before eight,

0:18:57.359 --> 0:19:02.680
<v Speaker 1>you're fine. After probably not so fine now. This kind

0:19:02.680 --> 0:19:06.200
<v Speaker 1>of age limit. This is seen in so many aspects

0:19:06.240 --> 0:19:11.240
<v Speaker 1>of brain function. For example, sometimes there are heartbreaking cases

0:19:11.359 --> 0:19:15.359
<v Speaker 1>in which a child is so profoundly neglected through her

0:19:15.480 --> 0:19:20.280
<v Speaker 1>childhood without conversation and affection that she will end up

0:19:20.520 --> 0:19:25.040
<v Speaker 1>incapable of speech. And if that child is found after

0:19:25.240 --> 0:19:28.359
<v Speaker 1>a certain age, let's say about seven, she will be

0:19:28.680 --> 0:19:33.240
<v Speaker 1>incapable of ever learning speech. Even when a team of

0:19:33.320 --> 0:19:37.399
<v Speaker 1>psychologists come in and work with her for years to

0:19:37.560 --> 0:19:41.160
<v Speaker 1>try to teach her language, it's too late. I told

0:19:41.200 --> 0:19:44.480
<v Speaker 1>the story of one such girl, Danielle, in my book

0:19:44.520 --> 0:19:47.280
<v Speaker 1>Live Wired, and I'll return to her story in a

0:19:47.359 --> 0:19:49.520
<v Speaker 1>future episode. But the thing I want to emphasize for

0:19:49.600 --> 0:19:54.320
<v Speaker 1>today is that the door for learning language closes. And

0:19:54.359 --> 0:19:57.320
<v Speaker 1>I'm not talking about learning a second language or dealing

0:19:57.359 --> 0:19:59.439
<v Speaker 1>with an accent or something like that. I'm talking about

0:19:59.640 --> 0:20:04.560
<v Speaker 1>the idea of language. What language is, as in, how

0:20:04.600 --> 0:20:07.919
<v Speaker 1>do I put words together to label things in the

0:20:07.920 --> 0:20:11.800
<v Speaker 1>outside world and communicate with someone else this way, with

0:20:11.880 --> 0:20:16.680
<v Speaker 1>a particular grammar and sentence structure and so on. If

0:20:16.720 --> 0:20:21.000
<v Speaker 1>a child does not get language in the formative years,

0:20:21.600 --> 0:20:28.800
<v Speaker 1>it becomes too late. Her maps have largely stabilized into

0:20:29.000 --> 0:20:33.159
<v Speaker 1>place and they can't be changed anymore. So children like

0:20:33.560 --> 0:20:36.840
<v Speaker 1>Matthew who got a hemisphectomy, or a child like Danielle

0:20:36.920 --> 0:20:40.320
<v Speaker 1>who didn't get language in time, they tell the same story,

0:20:40.359 --> 0:20:43.920
<v Speaker 1>which is that brains are really flexible at the beginning

0:20:44.400 --> 0:20:47.280
<v Speaker 1>in this window of time known as the sensitive period,

0:20:47.720 --> 0:20:52.480
<v Speaker 1>and as this period passes, the neural geography becomes more

0:20:52.600 --> 0:20:57.879
<v Speaker 1>difficult to change. So as seen with children like Danielle,

0:20:58.119 --> 0:21:03.080
<v Speaker 1>a young child's brain needs to hear lots of language

0:21:03.160 --> 0:21:07.240
<v Speaker 1>during the sensitive period, and without that input, the neurons

0:21:07.320 --> 0:21:12.600
<v Speaker 1>don't arrange themselves to capture the fundamental concepts of language.

0:21:13.359 --> 0:21:14.880
<v Speaker 1>And by the way, it's a side note, you might

0:21:14.920 --> 0:21:18.879
<v Speaker 1>wonder what happens with a deaf baby who doesn't hear

0:21:19.240 --> 0:21:23.320
<v Speaker 1>any auditory input, and the answer is, as long as

0:21:23.359 --> 0:21:27.280
<v Speaker 1>the parents present sign language to the baby, her brain

0:21:27.320 --> 0:21:32.040
<v Speaker 1>will wire up correctly for communication. The deaf baby will

0:21:32.320 --> 0:21:38.080
<v Speaker 1>employ her hands to babble, making resemblances to sign language,

0:21:38.080 --> 0:21:40.399
<v Speaker 1>and the same way that a hearing baby exposed to

0:21:40.480 --> 0:21:44.199
<v Speaker 1>language will babble with her vocal cords. If there is

0:21:44.400 --> 0:21:47.040
<v Speaker 1>input to pick up on, the baby will do so.

0:21:47.880 --> 0:21:51.560
<v Speaker 1>As long as that input arrives within the sensitive period.

0:21:51.960 --> 0:21:55.840
<v Speaker 1>After that door swing shut, it's too late to learn

0:21:55.880 --> 0:22:01.720
<v Speaker 1>the fundamentals of communication. So there's a window for acquiring

0:22:01.800 --> 0:22:05.119
<v Speaker 1>the ability to communicate, and there are also windows for

0:22:05.320 --> 0:22:10.239
<v Speaker 1>more subtle aspects of language, like accents. So take the

0:22:10.320 --> 0:22:15.480
<v Speaker 1>actress Mila Kunis. She speaks American English with no discernible accent,

0:22:16.200 --> 0:22:18.600
<v Speaker 1>so you probably didn't know that she was born in

0:22:18.800 --> 0:22:22.480
<v Speaker 1>Ukraine and lived there, not speaking a word of English

0:22:22.600 --> 0:22:27.280
<v Speaker 1>until the age of seven. Now, in contrast, Arnold Schwarzenegger,

0:22:27.640 --> 0:22:31.399
<v Speaker 1>who's been in American filmmaking since his early twenties, he

0:22:31.480 --> 0:22:35.240
<v Speaker 1>has a very strong Austrian accent. Why because he didn't

0:22:35.280 --> 0:22:37.719
<v Speaker 1>move to America until he was twenty one, and that

0:22:37.920 --> 0:22:43.600
<v Speaker 1>meant his use of English began too late. Brain wise, generally,

0:22:44.200 --> 0:22:47.040
<v Speaker 1>if you arrive in a new country during your first

0:22:47.080 --> 0:22:51.000
<v Speaker 1>seven years, your fluency in the new tongue will be

0:22:51.040 --> 0:22:54.199
<v Speaker 1>as high as a native speakers, because your window of

0:22:54.240 --> 0:22:59.159
<v Speaker 1>sensitivity for obtaining the sounds that's still open. If you

0:22:59.480 --> 0:23:02.280
<v Speaker 1>immigrate when you're eight to ten years old, you have

0:23:02.320 --> 0:23:05.639
<v Speaker 1>a slightly more difficult time blending in, but you'll be close.

0:23:06.080 --> 0:23:09.399
<v Speaker 1>If you're past your teen years. When you move like

0:23:09.600 --> 0:23:13.479
<v Speaker 1>Arnold was, your fluency is likely to remain low, and

0:23:13.480 --> 0:23:17.240
<v Speaker 1>you're going to have an accent that reveals your history.

0:23:17.560 --> 0:23:21.920
<v Speaker 1>So your ability to sonically morph into a different culture

0:23:22.640 --> 0:23:25.880
<v Speaker 1>is a door that remains open for only about a decade.

0:23:27.000 --> 0:23:29.960
<v Speaker 1>And let's take another example. Take something like vision. So

0:23:30.400 --> 0:23:35.160
<v Speaker 1>imagine a child is born with misaligned eyes where one

0:23:35.200 --> 0:23:38.800
<v Speaker 1>eye is pointing straight but the other eye points inwarder outward.

0:23:38.840 --> 0:23:42.520
<v Speaker 1>This is known as strabismus, and colloquially it's often called

0:23:42.840 --> 0:23:46.040
<v Speaker 1>being cross eyed or walleyed. What you do clinically is

0:23:46.080 --> 0:23:49.440
<v Speaker 1>you fix the extra ocular muscles so the eyes can

0:23:49.520 --> 0:23:53.160
<v Speaker 1>point the same direction, and then you cover the good

0:23:53.200 --> 0:23:56.000
<v Speaker 1>eye for a while, which allows the weak eye to

0:23:56.600 --> 0:24:00.600
<v Speaker 1>fight to regain its lost territory. But no out that

0:24:00.680 --> 0:24:03.000
<v Speaker 1>the good eye has to be patched. You have to

0:24:03.080 --> 0:24:07.160
<v Speaker 1>do this technique within this sensitive period about the first

0:24:07.280 --> 0:24:11.520
<v Speaker 1>six years, otherwise it's too late. The vision will never

0:24:11.600 --> 0:24:16.280
<v Speaker 1>be recoverable after that from the weakey. After six years,

0:24:16.320 --> 0:24:19.800
<v Speaker 1>the dirt roads in the brain have been paved into

0:24:19.880 --> 0:24:24.760
<v Speaker 1>highways and you can't now modify them. So this influence

0:24:25.080 --> 0:24:28.879
<v Speaker 1>of developmental timing. You see this across all the senses.

0:24:29.680 --> 0:24:32.960
<v Speaker 1>I talked in earlier episodes about how the body maps

0:24:33.080 --> 0:24:37.560
<v Speaker 1>readjust if you have an amputation or when you learn

0:24:37.600 --> 0:24:41.920
<v Speaker 1>a new musical instrument, but across the board, these kinds

0:24:41.960 --> 0:24:46.080
<v Speaker 1>of changes happen more in young brains than in old brains,

0:24:47.160 --> 0:24:50.840
<v Speaker 1>just like Mila Kunis with her unaccented speech. So we

0:24:51.000 --> 0:24:54.199
<v Speaker 1>find that Jitzak Peerlman took up the violin at a

0:24:54.320 --> 0:24:56.840
<v Speaker 1>very young age. If you were to take up the

0:24:56.960 --> 0:25:00.600
<v Speaker 1>violin for the first time in your teenage years, there's

0:25:00.720 --> 0:25:04.720
<v Speaker 1>no possibility that you would ever become a pearlman. Even

0:25:04.760 --> 0:25:07.840
<v Speaker 1>if you worked really hard to rack up the same

0:25:07.920 --> 0:25:12.040
<v Speaker 1>number of hours of practice. Your brain is already behind

0:25:12.080 --> 0:25:16.000
<v Speaker 1>in the race. It has grown too solidified by the

0:25:16.040 --> 0:25:19.399
<v Speaker 1>time you start doing your first piscata as a teenager.

0:25:20.560 --> 0:25:25.840
<v Speaker 1>So acquiring vision and language and violin proficiency, this all

0:25:25.880 --> 0:25:29.680
<v Speaker 1>depends on input from the world, and if a severely

0:25:29.800 --> 0:25:34.880
<v Speaker 1>neglected child like Danielle doesn't receive this input, she can't

0:25:35.200 --> 0:25:39.280
<v Speaker 1>later the ability to learn language, to possess vision, to

0:25:39.840 --> 0:25:44.040
<v Speaker 1>interact socially, to walk normally, to have normal neurodevelopment. This

0:25:44.160 --> 0:25:47.600
<v Speaker 1>is all limited to the years of young childhood, and

0:25:47.680 --> 0:25:52.159
<v Speaker 1>after a certain point these abilities are lost. The brain

0:25:52.680 --> 0:25:56.400
<v Speaker 1>needs to experience the proper input within the right window

0:25:56.880 --> 0:26:02.320
<v Speaker 1>to achieve its most useful connectivity. Now, as a result

0:26:02.440 --> 0:26:06.840
<v Speaker 1>of this diminishing flexibility, we are highly influenced by the

0:26:06.880 --> 0:26:10.400
<v Speaker 1>events that happen in our childhoods. So here's a really

0:26:10.400 --> 0:26:15.560
<v Speaker 1>interesting example. Consider the correlation between how tall a man

0:26:15.840 --> 0:26:20.600
<v Speaker 1>is and how much salary he will command. In America,

0:26:21.000 --> 0:26:25.080
<v Speaker 1>each additional inch of height translates into a one point

0:26:25.119 --> 0:26:29.920
<v Speaker 1>eight percent increase in take home pay. Why is that well,

0:26:30.240 --> 0:26:34.199
<v Speaker 1>the popular assumption is that this stems from discrimination in

0:26:34.280 --> 0:26:38.040
<v Speaker 1>hiring practices. Everyone wants to hire the tall guy because

0:26:38.040 --> 0:26:41.200
<v Speaker 1>of his commanding presence. But it turns out there is

0:26:41.720 --> 0:26:46.600
<v Speaker 1>a deeper reason. The best indicator of a male's future

0:26:46.680 --> 0:26:52.479
<v Speaker 1>salary is how tall he was at the age of sixteen. However,

0:26:52.520 --> 0:26:55.800
<v Speaker 1>tall he grows after that doesn't change the outcome. Now,

0:26:55.800 --> 0:26:59.080
<v Speaker 1>how do we understand that? Could it be some effect

0:26:59.119 --> 0:27:03.920
<v Speaker 1>of nutritional differences between people? Know because when the researchers

0:27:04.000 --> 0:27:08.240
<v Speaker 1>correlated with height at ages seven or eleven, the effect

0:27:08.320 --> 0:27:13.160
<v Speaker 1>wasn't as strong. Instead, it's that the teenage years are

0:27:13.200 --> 0:27:17.439
<v Speaker 1>a time when social status is being worked out, and

0:27:17.520 --> 0:27:21.600
<v Speaker 1>as a result, who you are as an adult strongly

0:27:21.640 --> 0:27:26.119
<v Speaker 1>depends on who you were then. In fact, studies that

0:27:26.240 --> 0:27:31.320
<v Speaker 1>track thousands of children into adulthood find that socially oriented

0:27:31.359 --> 0:27:35.520
<v Speaker 1>careers like sales or managing other people show the strongest

0:27:35.560 --> 0:27:39.240
<v Speaker 1>effect of teenage height, and other careers like blue collar

0:27:39.280 --> 0:27:44.800
<v Speaker 1>work or artistic trades are less influenced. So how people

0:27:44.920 --> 0:27:49.680
<v Speaker 1>treat you during your formative years has an enormous impact.

0:27:49.800 --> 0:27:53.240
<v Speaker 1>On your comportment in the world in terms of self

0:27:53.320 --> 0:27:57.679
<v Speaker 1>esteem and confidence and leadership. Here's another example. Think about

0:27:58.200 --> 0:28:00.880
<v Speaker 1>Oprah Winfrey, who is worth the bid two point eight

0:28:01.000 --> 0:28:04.320
<v Speaker 1>billion dollars. So I was a little surprised when I

0:28:04.400 --> 0:28:08.440
<v Speaker 1>read that she has a deep rooted fear of ending

0:28:08.520 --> 0:28:12.840
<v Speaker 1>up homeless and penniless. But it's because of the path

0:28:13.119 --> 0:28:16.840
<v Speaker 1>that got her here. Before she was an empress of

0:28:16.880 --> 0:28:20.840
<v Speaker 1>the media, she was an impoverished child in Mississippi. She

0:28:20.920 --> 0:28:25.000
<v Speaker 1>was born to a teenage single mother. So who she

0:28:25.440 --> 0:28:30.879
<v Speaker 1>was then influenced who she is now. The Great Aristotle

0:28:31.119 --> 0:28:33.959
<v Speaker 1>noted this twenty four hundred years ago. He said, quote,

0:28:34.240 --> 0:28:38.960
<v Speaker 1>the habits we form from childhood make no small difference,

0:28:39.320 --> 0:28:44.840
<v Speaker 1>but rather they make all the difference. Okay, So to

0:28:45.000 --> 0:28:49.440
<v Speaker 1>capture the idea of the sensitive period, I introduced the

0:28:49.480 --> 0:28:52.800
<v Speaker 1>metaphor of a door swinging shut. But now we're ready

0:28:52.840 --> 0:28:55.800
<v Speaker 1>to take the analogy to the next level. It's not

0:28:56.360 --> 0:29:00.080
<v Speaker 1>one door, it's a bunch of different doors which swing

0:29:00.160 --> 0:29:04.360
<v Speaker 1>shut at different times. So let's look at an example

0:29:04.400 --> 0:29:07.440
<v Speaker 1>of that. Sometimes the brain is so impressionable in its

0:29:07.520 --> 0:29:10.120
<v Speaker 1>earliest days that it can sometimes get into hot water.

0:29:10.480 --> 0:29:15.680
<v Speaker 1>For example, the baby goose hatches from its egg, and

0:29:15.720 --> 0:29:20.960
<v Speaker 1>it establishes a parental relationship with the first animate object

0:29:21.040 --> 0:29:24.280
<v Speaker 1>that it sees. And this is a sufficient strategy in

0:29:24.320 --> 0:29:27.920
<v Speaker 1>most cases because that first sight is usually its mother.

0:29:28.040 --> 0:29:32.120
<v Speaker 1>But it can get fooled in the wrong circumstances, and

0:29:32.160 --> 0:29:34.880
<v Speaker 1>this was shown in the nineteen thirties by the zoologist

0:29:35.160 --> 0:29:38.280
<v Speaker 1>Conrad Lorenz, who didn't have to work hard for the

0:29:38.280 --> 0:29:40.520
<v Speaker 1>geese to imprint on him. Instead, he just needed to

0:29:40.640 --> 0:29:44.320
<v Speaker 1>show up in the right window of plasticity right after

0:29:44.360 --> 0:29:47.400
<v Speaker 1>they hatched, and then they would imprint on him and

0:29:47.600 --> 0:29:51.200
<v Speaker 1>follow him around. So that's an example of a fast

0:29:51.240 --> 0:29:55.040
<v Speaker 1>swinging door for geese to imprint on their parent. But

0:29:55.680 --> 0:29:58.880
<v Speaker 1>the geese can still learn other things later in life,

0:29:59.160 --> 0:30:02.240
<v Speaker 1>such as where the is or where to best seek food,

0:30:02.720 --> 0:30:06.600
<v Speaker 1>or the identities of other geese that they meet in adulthood.

0:30:07.440 --> 0:30:12.440
<v Speaker 1>So sensitive periods are different for different tasks of the brain,

0:30:12.720 --> 0:30:16.600
<v Speaker 1>and not all brain regions are equally plastic in terms

0:30:16.600 --> 0:30:20.320
<v Speaker 1>of how flexibly they begin and how long they retain

0:30:20.520 --> 0:30:24.880
<v Speaker 1>their adaptability. So is there a pattern to which areas

0:30:25.160 --> 0:30:29.480
<v Speaker 1>solidify first. So some years ago some colleagues of mine

0:30:30.000 --> 0:30:32.440
<v Speaker 1>did some research, so they looked a little bit of

0:30:32.560 --> 0:30:35.040
<v Speaker 1>damage to the retina at the back of the eye

0:30:35.600 --> 0:30:38.680
<v Speaker 1>in an adult and looked at how that cause changes

0:30:39.000 --> 0:30:41.280
<v Speaker 1>in the back of the brain and the visual cortex.

0:30:41.960 --> 0:30:45.640
<v Speaker 1>And they assumed that because the visual cortex was not

0:30:45.680 --> 0:30:48.720
<v Speaker 1>getting any information from that little patch of eye, that

0:30:48.880 --> 0:30:52.560
<v Speaker 1>it would readjust you'd see plasticity. And to their surprise,

0:30:53.400 --> 0:30:58.240
<v Speaker 1>they found no measurable changes in the visual cortex. The

0:30:58.360 --> 0:31:01.440
<v Speaker 1>part of the cortex that was inactive because it wasn't

0:31:01.440 --> 0:31:05.240
<v Speaker 1>getting any data stayed inactive. It didn't get taken over

0:31:05.320 --> 0:31:09.920
<v Speaker 1>by the surrounding areas. Now, given the history of brain

0:31:10.000 --> 0:31:15.200
<v Speaker 1>plasticity studies even in adults, that was a little bit unexpected.

0:31:15.240 --> 0:31:18.720
<v Speaker 1>After all, you still have a lot of flexibility in

0:31:18.760 --> 0:31:22.040
<v Speaker 1>the parts of your brain that drive the body or

0:31:22.120 --> 0:31:24.600
<v Speaker 1>feel from the body, and this is what allows you

0:31:24.640 --> 0:31:28.120
<v Speaker 1>to learn how to hang gliders, snowboard even in your

0:31:28.200 --> 0:31:32.480
<v Speaker 1>later years. So what was the difference between the studies

0:31:32.520 --> 0:31:38.920
<v Speaker 1>involving your visual system versus the systems that drive your

0:31:38.960 --> 0:31:42.080
<v Speaker 1>body or feel from your body. Why are the patterns

0:31:42.080 --> 0:31:45.920
<v Speaker 1>in the primary visual cortex locked into place after a

0:31:46.040 --> 0:31:48.960
<v Speaker 1>short window of a few years, while the parts of

0:31:49.000 --> 0:31:53.160
<v Speaker 1>your body involved in moving your sensing continue to learn

0:31:54.240 --> 0:31:58.000
<v Speaker 1>The answer is that different areas of the brain operate

0:31:58.160 --> 0:32:04.240
<v Speaker 1>on different schedules of plasticity. Some neural networks are unyielding

0:32:04.320 --> 0:32:09.160
<v Speaker 1>and others are highly pliable. Some sensitive periods are really

0:32:09.240 --> 0:32:11.800
<v Speaker 1>brief and others are long. Okay, So is there a

0:32:12.080 --> 0:32:19.080
<v Speaker 1>general principle at work behind this diversity. One possibility is

0:32:19.080 --> 0:32:23.120
<v Speaker 1>that the different sensitive periods are caused by different underlying

0:32:23.800 --> 0:32:27.640
<v Speaker 1>learning strategies in different parts of the brain. So, in

0:32:27.680 --> 0:32:32.520
<v Speaker 1>this view, some regions are geared to learn throughout life

0:32:32.560 --> 0:32:36.840
<v Speaker 1>because they're meant to encode changeable details of the world.

0:32:37.360 --> 0:32:41.240
<v Speaker 1>So think of vocabulary words, or the ability to learn

0:32:41.720 --> 0:32:46.240
<v Speaker 1>new map directions, or the visual recognition of people's faces.

0:32:46.280 --> 0:32:50.120
<v Speaker 1>These are tasks for which you want to retain flexibility.

0:32:50.600 --> 0:32:55.080
<v Speaker 1>But in contrast, other brain areas are involved in really

0:32:55.160 --> 0:32:59.320
<v Speaker 1>stable relationships, like the building blocks of vision, or how

0:32:59.320 --> 0:33:02.960
<v Speaker 1>to chew food food or the general rules of grammar,

0:33:03.360 --> 0:33:08.920
<v Speaker 1>and these areas require a faster lockdown. But how could

0:33:08.920 --> 0:33:12.480
<v Speaker 1>the brain know and advance the order in which to

0:33:12.520 --> 0:33:18.160
<v Speaker 1>solidify things? Is that genetically encoded? Possibly some aspects are,

0:33:18.400 --> 0:33:22.280
<v Speaker 1>but I've previously published a new hypothesis about this, which

0:33:22.320 --> 0:33:25.760
<v Speaker 1>is that the degree of plasticity in a brain region

0:33:26.400 --> 0:33:30.880
<v Speaker 1>reflects how much the data change or are likely to

0:33:31.000 --> 0:33:34.080
<v Speaker 1>change in the outside world. So let me explain this.

0:33:34.560 --> 0:33:39.960
<v Speaker 1>If the incoming data aren't changing, the system hardens around that.

0:33:40.560 --> 0:33:43.400
<v Speaker 1>But if the data are constantly changing, then the system

0:33:43.720 --> 0:33:49.200
<v Speaker 1>remains flexible for that area. So as a result, stable

0:33:49.320 --> 0:33:54.480
<v Speaker 1>data solidify. First, let me give an example. Take information

0:33:54.640 --> 0:33:59.040
<v Speaker 1>from the ears versus information from the body. So areas

0:33:59.160 --> 0:34:02.360
<v Speaker 1>encoding the base six sounds of the world. Like the

0:34:02.400 --> 0:34:08.640
<v Speaker 1>primary auditory cortex, these become resistant to change. They stiffen rapidly.

0:34:08.960 --> 0:34:11.680
<v Speaker 1>And that's why, as I spoke about in a previous

0:34:11.719 --> 0:34:15.200
<v Speaker 1>episode thirty five, a baby born in America and a

0:34:15.239 --> 0:34:19.120
<v Speaker 1>baby born in Japan will learn how to hear different

0:34:19.280 --> 0:34:23.000
<v Speaker 1>possible sounds, and by nine months of age, their brain

0:34:23.080 --> 0:34:26.840
<v Speaker 1>is locking down on those sounds in their language. But

0:34:27.360 --> 0:34:31.799
<v Speaker 1>in contrast, the parts of your brain involved in navigating

0:34:31.840 --> 0:34:35.479
<v Speaker 1>your body and feeling from your body, these remain more

0:34:35.640 --> 0:34:40.840
<v Speaker 1>plastics throughout your life. Why because body plans change throughout

0:34:40.880 --> 0:34:44.520
<v Speaker 1>your life. You get heavier or skinnier, you put on

0:34:44.719 --> 0:34:48.439
<v Speaker 1>boots or slippers, or you're on crutches, or you jump

0:34:48.440 --> 0:34:52.880
<v Speaker 1>on a bicycle or a scooter or a trampoline, and

0:34:52.920 --> 0:34:55.520
<v Speaker 1>that's why you can pick up something new as an adult,

0:34:55.560 --> 0:34:59.400
<v Speaker 1>like windsurfing. The statistics of the language you're surrounding with

0:34:59.480 --> 0:35:03.759
<v Speaker 1>that doesn't change much, but your body's feedback from the

0:35:03.800 --> 0:35:08.840
<v Speaker 1>world does change, and as a result, the auditory cortex

0:35:09.040 --> 0:35:14.680
<v Speaker 1>tightens down, but less so for your body plan. So

0:35:14.719 --> 0:35:18.200
<v Speaker 1>now let's zoom into a single sense like vision. This

0:35:18.320 --> 0:35:21.480
<v Speaker 1>is really cool because in low level visual areas, what's

0:35:21.520 --> 0:35:25.840
<v Speaker 1>called the primary visual cortex, the neurons and code basic

0:35:25.960 --> 0:35:29.400
<v Speaker 1>properties of the world like edges and colors and angles.

0:35:29.920 --> 0:35:33.360
<v Speaker 1>But you have these higher areas of visual cortex that

0:35:33.400 --> 0:35:37.239
<v Speaker 1>are involved in more particular items like the layout of

0:35:37.320 --> 0:35:42.000
<v Speaker 1>your street, or the sleek look of this year's sports car,

0:35:42.440 --> 0:35:46.640
<v Speaker 1>or the arrangement of apps on your cell phone. Now,

0:35:46.719 --> 0:35:51.160
<v Speaker 1>the information in the low level areas that becomes established first,

0:35:51.520 --> 0:35:55.520
<v Speaker 1>and the successive layers wire up on top of those foundations,

0:35:56.520 --> 0:35:59.840
<v Speaker 1>so the possible angles of a line, these are fixed

0:35:59.840 --> 0:36:03.239
<v Speaker 1>in place. But you can still learn the face of

0:36:03.280 --> 0:36:07.600
<v Speaker 1>the latest movie star. So there's a hierarchy of flexibility

0:36:07.640 --> 0:36:11.799
<v Speaker 1>where the representations at the bottom are learned first. These

0:36:11.840 --> 0:36:15.439
<v Speaker 1>reflect the basic statistics of the visual world, and those

0:36:15.480 --> 0:36:20.120
<v Speaker 1>are unlikely to change, these remain stable so that the

0:36:20.440 --> 0:36:25.319
<v Speaker 1>higher order patterns, which can change more rapidly, they can

0:36:25.360 --> 0:36:28.480
<v Speaker 1>be learned. Okay, so let's do an analogy. If you

0:36:28.600 --> 0:36:32.520
<v Speaker 1>are building a library, you want to nail down the

0:36:32.560 --> 0:36:36.640
<v Speaker 1>basics first. You establish the positions of the shelves, and

0:36:36.680 --> 0:36:40.000
<v Speaker 1>you set up the Dewey decimal system for organization and

0:36:40.120 --> 0:36:43.400
<v Speaker 1>maybe the workflow for checking out the books. Once that's

0:36:43.440 --> 0:36:48.320
<v Speaker 1>all nailed down, then it's straightforward to maintain a flexible

0:36:48.440 --> 0:36:52.839
<v Speaker 1>inventory of books. You expand the offerings and exciting categories,

0:36:52.920 --> 0:36:58.000
<v Speaker 1>you reduce outdated volumes, and you constantly test out new titles.

0:36:58.360 --> 0:37:00.760
<v Speaker 1>This is the same thing in the brain. The primary

0:37:00.840 --> 0:37:04.120
<v Speaker 1>visual cortex gets all nailed down and set up first,

0:37:04.520 --> 0:37:07.560
<v Speaker 1>and higher order areas of the brain can try out

0:37:07.640 --> 0:37:12.400
<v Speaker 1>new things and remain flexible. So there's no single answer

0:37:12.440 --> 0:37:15.439
<v Speaker 1>to whether the brain is plastic as we get older.

0:37:15.480 --> 0:37:19.960
<v Speaker 1>It depends on what brain area we're talking about. Plasticity

0:37:20.400 --> 0:37:24.880
<v Speaker 1>declines with age, but across the brain it declines differently,

0:37:25.360 --> 0:37:30.400
<v Speaker 1>steeply or shallowly, depending on its function. Now, interestingly, this

0:37:30.520 --> 0:37:36.080
<v Speaker 1>hypothesis that the amount of plasticity reflects the variance in

0:37:36.120 --> 0:37:39.319
<v Speaker 1>the outside world. This has an analogy I think in

0:37:39.440 --> 0:37:43.759
<v Speaker 1>genetics in ways that science is still working to understand,

0:37:44.200 --> 0:37:49.120
<v Speaker 1>genomes seem to lock in some parts of their nucleotide

0:37:49.200 --> 0:37:54.200
<v Speaker 1>sequences the actgs. They lock in some parts more than others,

0:37:54.360 --> 0:37:59.440
<v Speaker 1>and they protect them against mutation, and conversely, other regions

0:37:59.480 --> 0:38:03.120
<v Speaker 1>of the chromes are much more variable. So, roughly speaking,

0:38:03.680 --> 0:38:09.319
<v Speaker 1>the variability of a genetic sequence mirrors the variability of

0:38:09.440 --> 0:38:14.280
<v Speaker 1>features in the outside world. For example, skin pigment genes

0:38:14.600 --> 0:38:19.000
<v Speaker 1>are highly variable because humans find themselves at different latitudes

0:38:19.239 --> 0:38:23.759
<v Speaker 1>and need to change the pigmentation to absorb enough vitamin D.

0:38:24.920 --> 0:38:29.279
<v Speaker 1>But in contrast, the genes that code for proteins that

0:38:29.320 --> 0:38:33.520
<v Speaker 1>break down sugar, these are really stable because that is

0:38:33.560 --> 0:38:38.600
<v Speaker 1>a critical and unchanging energy source. So by analogy in

0:38:38.640 --> 0:38:42.920
<v Speaker 1>the brain, I hypothesize that in the future we may

0:38:42.960 --> 0:38:48.680
<v Speaker 1>be able to quantify the variability of mental and social

0:38:48.760 --> 0:38:52.120
<v Speaker 1>and behavioral functions in human life, and we can put

0:38:52.160 --> 0:38:55.920
<v Speaker 1>to the test this hypothesis that the most flexible circuits

0:38:55.960 --> 0:39:18.680
<v Speaker 1>of the brain mirror the most variable parts of our environment. Okay,

0:39:18.920 --> 0:39:22.960
<v Speaker 1>so where does all this talk about brain plasticity put us. Well,

0:39:23.640 --> 0:39:28.080
<v Speaker 1>often what we find is that adults envy children. Why

0:39:28.200 --> 0:39:32.680
<v Speaker 1>because children have the ability to absorb languages at an

0:39:32.719 --> 0:39:37.319
<v Speaker 1>extraordinary rate, and they can think of magically bizarre approaches

0:39:37.360 --> 0:39:41.080
<v Speaker 1>to any problem, and they can celebrate the novelty of

0:39:41.120 --> 0:39:46.560
<v Speaker 1>every experience. But older brains have more closed doors, which

0:39:46.600 --> 0:39:50.279
<v Speaker 1>is why Toyber's World War Two veterans fared worse if

0:39:50.320 --> 0:39:54.800
<v Speaker 1>they were older, and why Arnold Schwarzenegger retains his accent.

0:39:55.840 --> 0:40:00.560
<v Speaker 1>And by analogy, the older a city is is the

0:40:00.560 --> 0:40:04.600
<v Speaker 1>more its infrastructure becomes resistant to shift. So look at

0:40:04.600 --> 0:40:09.200
<v Speaker 1>something like Rome. The city of Rome can't untangle its

0:40:09.280 --> 0:40:13.720
<v Speaker 1>windy roads to resemble the grid work of Manhattan because

0:40:13.840 --> 0:40:19.080
<v Speaker 1>too much history has glued its snaking roots into place.

0:40:20.320 --> 0:40:25.880
<v Speaker 1>Just like developing humans, cities deepen their tracks along early roads,

0:40:27.120 --> 0:40:30.560
<v Speaker 1>and so adults often wish they could have the plasticity

0:40:31.040 --> 0:40:34.680
<v Speaker 1>that they used to. In nineteen eighty four, at the

0:40:34.719 --> 0:40:38.840
<v Speaker 1>age of thirty five, the physicist my friend Alan Lightman

0:40:38.960 --> 0:40:42.040
<v Speaker 1>wrote a short essay in The New York Times titled

0:40:42.200 --> 0:40:48.400
<v Speaker 1>Elapsed Expectations, in which he lamented the perceived stiffening of

0:40:48.480 --> 0:40:52.480
<v Speaker 1>his mind. Here's what he said. Quote. The limber years

0:40:52.520 --> 0:40:57.920
<v Speaker 1>for scientists, as for athletes, generally come at a young age.

0:40:58.000 --> 0:41:01.280
<v Speaker 1>Isaac Newton was in his early twenties when he discovered

0:41:01.320 --> 0:41:05.399
<v Speaker 1>the law of gravity, Albert Einstein was twenty six when

0:41:05.400 --> 0:41:10.480
<v Speaker 1>he formulated special relativity, and James Clerk Maxwell had polished

0:41:10.480 --> 0:41:14.800
<v Speaker 1>off electromagnetic theory and retired to the country. By thirty five.

0:41:16.000 --> 0:41:19.000
<v Speaker 1>Lightman goes on to say, quote, when I hit thirty

0:41:19.040 --> 0:41:23.080
<v Speaker 1>five myself some months ago, I went through the unpleasant

0:41:23.120 --> 0:41:27.320
<v Speaker 1>but irresistible exercise of summing up my career in physics.

0:41:27.800 --> 0:41:31.200
<v Speaker 1>By this age or another few years, the most creative

0:41:31.200 --> 0:41:35.040
<v Speaker 1>achievements are finished and visible. You've either got the stuff

0:41:35.080 --> 0:41:39.040
<v Speaker 1>and used it, or you haven't. End quote. So Lightman

0:41:39.480 --> 0:41:44.680
<v Speaker 1>was concerned that his brain plasticity was stiffening into place,

0:41:45.000 --> 0:41:49.240
<v Speaker 1>and these same sentiments were echoed by the physicist James

0:41:49.280 --> 0:41:52.880
<v Speaker 1>Gates in a television interview I saw. He said, quote,

0:41:53.600 --> 0:41:57.799
<v Speaker 1>there's a saying that old physicists accept new ideas when

0:41:57.840 --> 0:42:02.600
<v Speaker 1>they die. It's the next general that brings new ideas

0:42:02.880 --> 0:42:05.239
<v Speaker 1>to their full fruition. When you get to be an

0:42:05.239 --> 0:42:08.520
<v Speaker 1>old physicist like me, you know a lot of stuff,

0:42:09.080 --> 0:42:11.600
<v Speaker 1>and it acts like a ballast on a ship. It

0:42:11.719 --> 0:42:15.000
<v Speaker 1>pulls you down. You have all the weight of these

0:42:15.040 --> 0:42:18.920
<v Speaker 1>other things that you know, and sometimes an idea like

0:42:18.960 --> 0:42:23.560
<v Speaker 1>a small ferry or a sprite passes by and you say, ah,

0:42:23.600 --> 0:42:25.640
<v Speaker 1>I don't know what that is, but it can't be

0:42:25.800 --> 0:42:31.120
<v Speaker 1>very important. Well, sometimes it is end quote. So this

0:42:31.360 --> 0:42:36.959
<v Speaker 1>kind of lamentation is typical of people as they age.

0:42:37.200 --> 0:42:42.960
<v Speaker 1>But happily, although brain plasticity diminishes over the years, it

0:42:43.000 --> 0:42:48.600
<v Speaker 1>is still present. Live wiring is not solely the privilege

0:42:48.640 --> 0:42:53.920
<v Speaker 1>of the young. Neural reconfiguration is an ongoing process that

0:42:54.040 --> 0:42:59.560
<v Speaker 1>lasts throughout our lives. We form new ideas, we accumulate

0:42:59.640 --> 0:43:05.040
<v Speaker 1>fresh information, we remember people and events that we're seeing now.

0:43:05.360 --> 0:43:10.320
<v Speaker 1>So going back to this analogy, despite having decreased flexibility,

0:43:10.680 --> 0:43:15.359
<v Speaker 1>the city of Rome still evolves. Rome now isn't what

0:43:15.400 --> 0:43:19.400
<v Speaker 1>it was twenty years ago. Today its statues are ringed

0:43:19.400 --> 0:43:24.600
<v Speaker 1>with cell phone towers and internet cafes. Although the rudiments

0:43:24.640 --> 0:43:28.680
<v Speaker 1>of the city are difficult to change, Rome nonetheless advances

0:43:28.719 --> 0:43:32.480
<v Speaker 1>all its finer points according to new circumstances, just like

0:43:32.840 --> 0:43:37.000
<v Speaker 1>the library changes its stock of books while its architecture

0:43:37.040 --> 0:43:40.920
<v Speaker 1>remains largely set. And you see this in so many

0:43:41.280 --> 0:43:45.200
<v Speaker 1>neuroscience studies. For example, when adults learn a new task

0:43:45.400 --> 0:43:49.000
<v Speaker 1>like juggling, you can see major changes in their brains.

0:43:49.520 --> 0:43:52.440
<v Speaker 1>If they take up a new musical instrument, you see

0:43:52.480 --> 0:43:56.960
<v Speaker 1>these major changes. If they become a London taxi driver

0:43:57.400 --> 0:44:02.120
<v Speaker 1>and memorize enormous maps of London, you can see these changes.

0:44:02.200 --> 0:44:08.320
<v Speaker 1>And all of these involve adult plasticity. One really stunning

0:44:08.400 --> 0:44:13.080
<v Speaker 1>example emerged recently from this nun study called the Religious

0:44:13.160 --> 0:44:17.640
<v Speaker 1>Order Study, which is a multi decade investigation of hundreds

0:44:17.680 --> 0:44:22.440
<v Speaker 1>of Catholic nuns living in convents. So all these sisters

0:44:22.480 --> 0:44:26.319
<v Speaker 1>agreed to regularly test their cognitive function and share their

0:44:26.360 --> 0:44:30.640
<v Speaker 1>medical records, and when they die, they donate their brains.

0:44:31.400 --> 0:44:36.520
<v Speaker 1>So amazingly, many of these nuns never displayed any cognitive decline.

0:44:36.560 --> 0:44:39.760
<v Speaker 1>They were sharp as a whip, but yet their brains

0:44:39.800 --> 0:44:45.800
<v Speaker 1>at autopsy were riddled with Alzheimer's disease. In other words,

0:44:45.840 --> 0:44:51.759
<v Speaker 1>their neural networks were physically degenerating, but their performance was not.

0:44:52.760 --> 0:44:55.879
<v Speaker 1>Now what could explain that, well, the key is that

0:44:56.520 --> 0:45:00.239
<v Speaker 1>the nuns and their convents had to consistently use their

0:45:00.280 --> 0:45:04.719
<v Speaker 1>wits until their final days. They had responsibilities and chores

0:45:05.080 --> 0:45:09.160
<v Speaker 1>and social lives and arguments and game nights and group

0:45:09.239 --> 0:45:15.080
<v Speaker 1>discussions and so on. So unlike typical retirees, they didn't

0:45:15.400 --> 0:45:18.120
<v Speaker 1>PLoP onto a couch in front of a television set.

0:45:18.480 --> 0:45:23.560
<v Speaker 1>Because they had active mental lives, their brains were forced

0:45:23.680 --> 0:45:27.719
<v Speaker 1>to constantly build new bridges, even as some of their

0:45:27.719 --> 0:45:31.960
<v Speaker 1>neural roadways were physically falling apart. What stunning is that

0:45:32.239 --> 0:45:36.000
<v Speaker 1>a third of the nuns seemed to have had the

0:45:36.080 --> 0:45:43.319
<v Speaker 1>molecular pathology of Alzheimer's without the expected cognitive symptoms. An

0:45:43.640 --> 0:45:48.120
<v Speaker 1>active mental life, even in the very elderly. This makes

0:45:48.280 --> 0:45:53.800
<v Speaker 1>new connections in the brain. So learning can happen in

0:45:54.040 --> 0:45:57.280
<v Speaker 1>any age, and the question is why is it slower

0:45:57.320 --> 0:46:01.880
<v Speaker 1>than as the brain matures. Well, one reason, as we've discussed,

0:46:01.960 --> 0:46:04.640
<v Speaker 1>is that many of the swinging doors have closed. But

0:46:04.680 --> 0:46:08.680
<v Speaker 1>there's another way to look at this. Remember that brain

0:46:08.920 --> 0:46:14.200
<v Speaker 1>changes are driven by the difference between your internal model

0:46:14.480 --> 0:46:18.160
<v Speaker 1>and what actually happens in the world, So brains make

0:46:18.320 --> 0:46:23.160
<v Speaker 1>change only when something is unexpected. As you learn all

0:46:23.200 --> 0:46:27.000
<v Speaker 1>this and figure this out, your brain becomes less challenged

0:46:27.080 --> 0:46:31.680
<v Speaker 1>through time, it becomes more settled into place. For example,

0:46:31.680 --> 0:46:35.480
<v Speaker 1>when you're a child, your internal model tells you that

0:46:35.880 --> 0:46:39.200
<v Speaker 1>all people believe everything that you believe, and as world

0:46:39.320 --> 0:46:44.000
<v Speaker 1>experience teaches you the difference between your predictions and your experience,

0:46:44.520 --> 0:46:48.279
<v Speaker 1>your networks are constantly having to adjust to address that

0:46:48.440 --> 0:46:52.200
<v Speaker 1>growing gap. Or consider what happens when you start a

0:46:52.239 --> 0:46:56.440
<v Speaker 1>new job. At first, everything is new, from your coworkers

0:46:56.480 --> 0:47:00.400
<v Speaker 1>to your responsibilities, to your approaches. You have all this

0:47:00.600 --> 0:47:03.840
<v Speaker 1>brain plasticity during the first days and weeks as you

0:47:03.920 --> 0:47:08.560
<v Speaker 1>incorporate your new gig into your internal model. But after

0:47:08.600 --> 0:47:13.120
<v Speaker 1>a while you become proficient at your job, so skill

0:47:13.719 --> 0:47:18.799
<v Speaker 1>replaces flexibility. And by the way, as an analogy, we

0:47:18.840 --> 0:47:22.680
<v Speaker 1>can see this pattern in the way that nations settle

0:47:22.800 --> 0:47:28.640
<v Speaker 1>into place. Consider the amendments to the constitution of any country.

0:47:28.880 --> 0:47:32.320
<v Speaker 1>Almost all the change happens near the beginning, while the

0:47:32.440 --> 0:47:36.320
<v Speaker 1>nation is learning the strategies of running itself, and later

0:47:36.880 --> 0:47:43.279
<v Speaker 1>constitutions congeal into place and amendments slow down. So take

0:47:43.320 --> 0:47:47.719
<v Speaker 1>the US Constitution. Twelve of the amendments took place in

0:47:47.760 --> 0:47:51.520
<v Speaker 1>the first thirteen years, and after that there were a

0:47:51.600 --> 0:47:54.600
<v Speaker 1>maximum of four changes in any twenty year period, and

0:47:54.600 --> 0:47:59.080
<v Speaker 1>most periods had no changes at all. And the latest change,

0:47:59.200 --> 0:48:01.960
<v Speaker 1>ratifying the t twenty seventh Amendment, that was in nineteen

0:48:02.040 --> 0:48:06.440
<v Speaker 1>ninety two, and the Constitution has been at a standstill

0:48:06.680 --> 0:48:13.200
<v Speaker 1>since then. In this way, nations steadily diminish their adaptation

0:48:13.320 --> 0:48:16.080
<v Speaker 1>to the world, because what they do is they profusely

0:48:16.160 --> 0:48:19.920
<v Speaker 1>modify at the beginning, and with time they settle on

0:48:20.040 --> 0:48:24.920
<v Speaker 1>a working model that offers what the country needs to

0:48:25.000 --> 0:48:31.120
<v Speaker 1>be operational. And in this same way, the brain's solidification

0:48:31.840 --> 0:48:38.000
<v Speaker 1>reflects its success in understanding the world. Neural networks lock

0:48:38.160 --> 0:48:42.240
<v Speaker 1>themselves more deeply into place, not because of fading function,

0:48:42.360 --> 0:48:47.319
<v Speaker 1>but because they've had success in figuring things out. So

0:48:48.400 --> 0:48:52.120
<v Speaker 1>would you really want the plasticity of a child again?

0:48:52.560 --> 0:48:56.000
<v Speaker 1>Although having a sponge like brain that absorbs everything that

0:48:56.200 --> 0:49:01.440
<v Speaker 1>sounds appealing, the game of life is largely about figuring

0:49:01.560 --> 0:49:07.080
<v Speaker 1>out the rules. What we lose in modifiability, we gain

0:49:07.360 --> 0:49:12.840
<v Speaker 1>in expertise our hard won neural networks. They might not

0:49:12.920 --> 0:49:16.439
<v Speaker 1>be correct about everything, or even internally consistent, but they

0:49:16.640 --> 0:49:22.399
<v Speaker 1>add up to life experience to know how to an

0:49:22.440 --> 0:49:26.200
<v Speaker 1>approach to the world. A child simply doesn't have the

0:49:26.239 --> 0:49:30.799
<v Speaker 1>capacity to run a company, or write about deep ideas

0:49:30.920 --> 0:49:36.080
<v Speaker 1>or lead a nation. If plasticity didn't decline, you couldn't

0:49:36.120 --> 0:49:39.279
<v Speaker 1>lock down the conventions of the world. You would never

0:49:39.800 --> 0:49:43.200
<v Speaker 1>learn the streets of your neighborhood or people's names, or

0:49:43.280 --> 0:49:45.600
<v Speaker 1>how to do a job, or how to navigate a

0:49:45.760 --> 0:49:50.279
<v Speaker 1>social life. You wouldn't be able to hold a meaningful conversation,

0:49:51.000 --> 0:49:54.560
<v Speaker 1>or ride a bike or obtain food for yourself. If

0:49:54.560 --> 0:49:59.520
<v Speaker 1>you had total flexibility, you would have the helplessness of

0:49:59.560 --> 0:50:04.520
<v Speaker 1>an in And don't forget that locking things down this

0:50:04.560 --> 0:50:08.239
<v Speaker 1>isn't just about skills that you learn. Locking things down

0:50:08.320 --> 0:50:12.520
<v Speaker 1>is what allows you to retain memories. Every single thing

0:50:12.560 --> 0:50:15.840
<v Speaker 1>you remember in your life, every bit of your story,

0:50:16.000 --> 0:50:21.000
<v Speaker 1>is stored in the exact patterns of your neural networks.

0:50:22.840 --> 0:50:27.760
<v Speaker 1>So just imagine that you had the opportunity to swallow

0:50:27.800 --> 0:50:32.280
<v Speaker 1>a capsule that would renew the brain plasticity even infant.

0:50:32.360 --> 0:50:36.840
<v Speaker 1>This would give you the capacity to reprogram your neural networks,

0:50:36.880 --> 0:50:41.080
<v Speaker 1>to learn new languages rapidly and adopt new accents and

0:50:41.360 --> 0:50:47.640
<v Speaker 1>new views of physics. But you'd forget everything that came before.

0:50:48.200 --> 0:50:52.279
<v Speaker 1>Your memories of your childhood would be erased and overwritten.

0:50:52.920 --> 0:50:56.040
<v Speaker 1>Memories of your first lover, your first trip to Disneyland,

0:50:56.400 --> 0:51:00.160
<v Speaker 1>your interaction with your parents all would fade like a

0:51:00.320 --> 0:51:04.960
<v Speaker 1>dream after waking. Would it be worth it to you?

0:51:04.960 --> 0:51:06.840
<v Speaker 1>You know? While I was working on my book LiveWire,

0:51:06.960 --> 0:51:10.960
<v Speaker 1>I was struck by thinking about a horror scenario in

0:51:11.000 --> 0:51:15.560
<v Speaker 1>the future of warfare, because in warfare, countries want to

0:51:15.680 --> 0:51:18.320
<v Speaker 1>injure their enemies, not kill them, because it requires a

0:51:18.360 --> 0:51:21.359
<v Speaker 1>lot more resource from the other side. They have to

0:51:21.400 --> 0:51:27.040
<v Speaker 1>attend to the wounded. So imagine a biological weapon that

0:51:27.239 --> 0:51:32.480
<v Speaker 1>implements broad brain plasticity. Again, no one is physically hurt,

0:51:32.960 --> 0:51:36.480
<v Speaker 1>but the troops are propelled back to the state of infants.

0:51:36.960 --> 0:51:40.239
<v Speaker 1>They forget their ability to walk into talk all if

0:51:40.280 --> 0:51:44.799
<v Speaker 1>their memories are wiped. When they're returned home by their commanders,

0:51:45.200 --> 0:51:49.000
<v Speaker 1>they have no remembrance of their families or friends, or

0:51:49.080 --> 0:51:53.800
<v Speaker 1>spouses or children. Technically, they're still fine, they can still learn. Again,

0:51:53.880 --> 0:51:57.840
<v Speaker 1>nothing is damaged, only their mental lives. The part we

0:51:57.920 --> 0:52:02.600
<v Speaker 1>can't see. These have been factory reset back to their

0:52:02.760 --> 0:52:07.560
<v Speaker 1>original state. Now, this scene is so horrific because fundamentally,

0:52:08.239 --> 0:52:14.000
<v Speaker 1>who you are is the sum total of your neural circuits.

0:52:14.320 --> 0:52:19.000
<v Speaker 1>Who you are is stored in the exact configuration of

0:52:19.040 --> 0:52:25.239
<v Speaker 1>the forest of eighty six billion neurons. So if you said, hey,

0:52:25.320 --> 0:52:29.320
<v Speaker 1>I want the plasticity of a child again, that comes

0:52:29.320 --> 0:52:33.200
<v Speaker 1>at the cost of who you are now and what

0:52:33.480 --> 0:52:37.200
<v Speaker 1>you know. So what we've seen today is that the

0:52:37.320 --> 0:52:40.759
<v Speaker 1>flexibility of a brain declines with age, and we saw

0:52:40.840 --> 0:52:44.640
<v Speaker 1>several examples where this can be sudden, like the closing

0:52:44.680 --> 0:52:47.200
<v Speaker 1>of a door, such that if you don't do something

0:52:47.239 --> 0:52:50.800
<v Speaker 1>before you're six or eight or thirteen, your brain simply

0:52:50.880 --> 0:52:53.640
<v Speaker 1>can't learn it later. And we also saw that there's

0:52:53.680 --> 0:52:55.880
<v Speaker 1>not just one door that closes in the brain, but

0:52:56.160 --> 0:52:59.840
<v Speaker 1>instead different doors close at different rates. So, for example,

0:52:59.840 --> 0:53:03.360
<v Speaker 1>you have to be exposed to language in your formative

0:53:03.520 --> 0:53:07.360
<v Speaker 1>early years to understand the concept of language. But the

0:53:07.440 --> 0:53:11.320
<v Speaker 1>question of whether you retain an accent after moving somewhere,

0:53:11.840 --> 0:53:15.000
<v Speaker 1>that's something that comes many years later. And of course,

0:53:15.320 --> 0:53:17.839
<v Speaker 1>you can learn a foreign language at any age, even

0:53:17.880 --> 0:53:20.719
<v Speaker 1>though it becomes more difficult. And I just want to

0:53:20.760 --> 0:53:25.719
<v Speaker 1>remind us about relevance here. In episode thirty five, I

0:53:25.800 --> 0:53:27.919
<v Speaker 1>talked about what sticks in your brain and what does

0:53:27.960 --> 0:53:30.120
<v Speaker 1>not stick in your brain, And the bottom line is

0:53:30.160 --> 0:53:34.080
<v Speaker 1>that your brain has to care about something in order

0:53:34.160 --> 0:53:36.800
<v Speaker 1>to learn it. You have to have the right cocktail

0:53:36.840 --> 0:53:42.400
<v Speaker 1>of neurotransmitters present, and that correlates with curiosity and relevance

0:53:42.440 --> 0:53:45.880
<v Speaker 1>to you. So you can definitely learn a language at

0:53:45.920 --> 0:53:50.400
<v Speaker 1>any age. The issue is simply do you have enough motivation.

0:53:51.080 --> 0:53:54.480
<v Speaker 1>If so, you can learn it. The problem is that

0:53:54.719 --> 0:53:58.480
<v Speaker 1>as people get older, there's typically less motivation to get

0:53:58.560 --> 0:54:01.480
<v Speaker 1>really good at something like a foreign language, because you

0:54:01.480 --> 0:54:03.840
<v Speaker 1>can get by with the language that you have, or

0:54:03.880 --> 0:54:06.719
<v Speaker 1>you figure out the minimum of that language that you

0:54:06.760 --> 0:54:08.480
<v Speaker 1>need to learn, so you can get a few things

0:54:08.680 --> 0:54:11.760
<v Speaker 1>and you don't really care as much about impressing people

0:54:11.800 --> 0:54:15.920
<v Speaker 1>with your fluency. But the mechanisms are still available and

0:54:15.960 --> 0:54:19.040
<v Speaker 1>you can learn it if it's important to you. And

0:54:19.080 --> 0:54:20.960
<v Speaker 1>I think one of the tricks in life is figuring

0:54:21.000 --> 0:54:26.440
<v Speaker 1>out how to fool yourself using your psychology to influence

0:54:26.520 --> 0:54:31.640
<v Speaker 1>your biology by reminding yourself, hey, here's why this would

0:54:31.719 --> 0:54:34.680
<v Speaker 1>be important to me, and it can be anything. It

0:54:34.719 --> 0:54:37.279
<v Speaker 1>can be this is going to impress the person I

0:54:37.280 --> 0:54:39.160
<v Speaker 1>want to go on a date with, or this will

0:54:39.200 --> 0:54:41.440
<v Speaker 1>make me proud of myself, or this will get me

0:54:41.560 --> 0:54:44.600
<v Speaker 1>that promotion that I really want, or this will get

0:54:44.600 --> 0:54:47.280
<v Speaker 1>me into medical school, or this will make my parents prouder.

0:54:47.480 --> 0:54:51.279
<v Speaker 1>Whatever it is that drives you, it's really useful to

0:54:51.440 --> 0:54:56.480
<v Speaker 1>clarify that to yourself, to explicitly specify to yourself why

0:54:56.520 --> 0:55:00.520
<v Speaker 1>this task matters, and then you'll have that at write

0:55:00.520 --> 0:55:06.279
<v Speaker 1>cocktail of neurotransmitters to make that information stick because in

0:55:06.320 --> 0:55:09.920
<v Speaker 1>the end we get to be the sculptors of our

0:55:10.000 --> 0:55:16.480
<v Speaker 1>own brains. Go to eagleman dot com slash podcast for

0:55:16.520 --> 0:55:19.560
<v Speaker 1>more information and to find further reading. Send me an

0:55:19.560 --> 0:55:24.319
<v Speaker 1>email at podcasts at eagleman dot com with questions or discussions,

0:55:24.560 --> 0:55:27.439
<v Speaker 1>and I'm making sporadic episodes in which I address those

0:55:30.200 --> 0:55:34.680
<v Speaker 1>until next time. I'm David Eagleman, and this is Inner Cosmos.