WEBVTT - Ep118 "Why has the brain always been our hardest puzzle?" with Matthew Cobb

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<v Speaker 1>The brain is massively complex, so how have people tried

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<v Speaker 1>to crack its mysteries? And what does this always have

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<v Speaker 1>to do with the latest technologies that are available, And

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<v Speaker 1>what does the history of neuroscience have to do with

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<v Speaker 1>feeling bumps on someone's skull? Electricity, Frankenstein, animatronics, telegraphs, telephone exchanges, computers, LMS,

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<v Speaker 1>and the next metaphor that we're going to use to

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<v Speaker 1>try to capture the brain's magic. Welcome to Inner Cosmos

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<v Speaker 1>with me David Eagelman. I'm a neuroscientist and an author

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<v Speaker 1>at Stanford, and in these episodes we seek to understand

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<v Speaker 1>why and how our lives look the way they do.

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<v Speaker 1>If you reach out and you wrap your hand around

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<v Speaker 1>your coffee cup and then bring it up to your lips,

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<v Speaker 1>that all seems pretty effortless. But what's driving that motor

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<v Speaker 1>action is a massive, invisible puppeteer living inside your skull,

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<v Speaker 1>an organ made of tens of billions of very active

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<v Speaker 1>cells called neurons, each one of which is firing off

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<v Speaker 1>tiny electrical pulses tens or hundreds of times every second,

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<v Speaker 1>and each of which is exchanging messages with thousands of

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<v Speaker 1>other neurons. And somehow from this vast electrical storm, you

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<v Speaker 1>get your hand moving, and you get your perception of

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<v Speaker 1>the tattooed barista in a rolled up flannel pulling espresso

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<v Speaker 1>shots and their of students hunched over laptops, and the

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<v Speaker 1>scent of dark roast and cinnamon. And you get your

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<v Speaker 1>memory of your name and your first kiss and what

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<v Speaker 1>you had for breakfast. And generally, from this lightning storm

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<v Speaker 1>of activity in the brain emerges the shimmering.

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<v Speaker 2>Something that we call you.

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<v Speaker 1>Now, we humans have been trying to understand this wrinkled

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<v Speaker 1>three pounds of jelly for a long time, because it's

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<v Speaker 1>been obvious that this is where all the action is.

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<v Speaker 1>Why is it obvious that is all happening in the brain. Well,

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<v Speaker 1>if you lose your leg, or your kidney or an eyeball,

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<v Speaker 1>those are all terrible events, but you.

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<v Speaker 2>Are still the same. But if you damage even a

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<v Speaker 2>very small chunk of brain tissue, that can change you entirely.

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<v Speaker 1>It changes your personality, or your decision making or your thoughts.

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<v Speaker 1>It changes who you are. So that led people to

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<v Speaker 1>realize slowly that somehow all the action of your behaviors

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<v Speaker 1>and your conscious experience is all tied to these three

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<v Speaker 1>pounds of tissue. So that sounds good, but it's really

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<v Speaker 1>hard to crack the mystery of how this thing works.

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<v Speaker 1>And that's for two main reasons. First, all the action

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<v Speaker 1>going on is microscopic. When you look at it, you

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<v Speaker 1>can't see anything. It just looks like a big, wrinkly

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<v Speaker 1>thing with the consistency of mashed potatoes. You'll often hear

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<v Speaker 1>me and others say that this is the most complex

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<v Speaker 1>thing we've ever discovered on our planet, but that is

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<v Speaker 1>a modern revelation. There's nothing obvious about that statement when

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<v Speaker 1>you look at the brain, and in fact, ancient cultures

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<v Speaker 1>used to throw out the brain at autopsy and be

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<v Speaker 1>much more interested in other organs. So the brain's doing

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<v Speaker 1>all kinds of things, but you can't see that. The

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<v Speaker 1>second challenge is that the brain is locked up tightly

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<v Speaker 1>inside the skull. It makes sense that it's well protected

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<v Speaker 1>as very delicate stuff, but that has made it especially

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<v Speaker 1>hard to study. So what's happened is that people have

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<v Speaker 1>been trying to decipher this very complicated puzzle for a

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<v Speaker 1>long time, and the history of neuroscience is, in a

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<v Speaker 1>way the history of human self regard. Each generation peers

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<v Speaker 1>into the darkness and sees its own technology reflected back.

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<v Speaker 1>So in the seventeenth century, when hydraulics were the cutting

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<v Speaker 1>edge of technology, the brain was imagined as a network

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<v Speaker 1>of pipes and valves.

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<v Speaker 2>Thoughts and sensations flowed like.

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<v Speaker 1>Water, propelled by animal spirits that coursed through hollow nerves.

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<v Speaker 1>Then in the eighteenth century, as electricity captured the imagination,

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<v Speaker 1>the brain became a battery. It became a generator of sparks.

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<v Speaker 1>By the nineteenth century it was a telegraph system, with

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<v Speaker 1>messages darting along wires and transmitting coded signals from one

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<v Speaker 1>station to another.

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<v Speaker 2>And then as we moved into.

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<v Speaker 1>The twentieth century with advancing technology, the metaphor shifted again.

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<v Speaker 2>The brain became a telephone.

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<v Speaker 1>Exchange, and then an electronic circuit and eventually a digital computer.

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<v Speaker 1>Now the cool thing is that each metaphor brought new insights.

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<v Speaker 1>So hydraulics inspired experiments on fluid pressure in the brain,

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<v Speaker 1>and telegraphs shaped the search for nerve conduction, and the

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<v Speaker 1>computer age fueled the rise.

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<v Speaker 2>Of neural network models.

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<v Speaker 1>But each metaphor also carries its blind spots. We become

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<v Speaker 1>experts at seeing the brain through the lens of the

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<v Speaker 1>day's technology, and sometimes we mistake the map for the territory.

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<v Speaker 1>So nowadays we've got great tools. We have fMRI scanners

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<v Speaker 1>that can track activity millimeter by millimeter. We have optogenetics

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<v Speaker 1>that can tickle neurons on or off with light. We

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<v Speaker 1>have genetic tools to clip out sections or even single letters.

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<v Speaker 1>And yet the deepest mysteries of the brain still remain,

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<v Speaker 1>and they're still stubborn. How does a three pound lump

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<v Speaker 1>of biological tissue generate the first person experience of being alive?

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<v Speaker 1>How does matter become mind? And how do all the

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<v Speaker 1>technology metaphors that we use today blind us to some

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<v Speaker 1>of the details. So that's why today I called up

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<v Speaker 1>Matthew Cobb. He's an evolutionary neurobiologist who studies smell and

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<v Speaker 1>memory at the University of Manchester, and he's also a

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<v Speaker 1>historian who has spent decades tracing the shifting stories that

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<v Speaker 1>we tell about the brain. He wrote a great book

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<v Speaker 1>called The Idea of the Brain, and this is a

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<v Speaker 1>fascinating history of neuroscience because it's not just a list

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<v Speaker 1>of events, but instead it explores how science and culture

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<v Speaker 1>and technology all braided together to shape our ideas and

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<v Speaker 1>how time and again we've been certain that we were

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<v Speaker 1>on the brink of a full explanation, only to discover

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<v Speaker 1>that the brain is more complex than we imagined. You

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<v Speaker 1>can't read this book without getting a deep appreciation for

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<v Speaker 1>the centuries of labor that.

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<v Speaker 2>It took to get us to the modern day picture.

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<v Speaker 1>The history of neuroscience is about hundreds or thousands of

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<v Speaker 1>people making small contributions, and presumably each person could never

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<v Speaker 1>know how seminole the contribution was. They were just providing

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<v Speaker 1>one puzzle piece that would end up clicking together with

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<v Speaker 1>other pieces in the future, but it's always impossible to see.

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<v Speaker 1>So the key is that in the end, the story

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<v Speaker 1>of the brain is also the story of us. It's

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<v Speaker 1>our technology, is what we understand at any point in history,

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<v Speaker 1>and of course our relentless drive to understand the organ

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<v Speaker 1>that is doing the understanding. So here's my conversation with

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<v Speaker 1>Matthew Cobb. Okay, so, Matthew, I'm a giant fan of

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<v Speaker 1>your book, The Idea of the Brain. I thought it

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<v Speaker 1>was extraordinary because it's not just a history of neuroscience

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<v Speaker 1>that is, it includes that, but much more importantly, it's

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<v Speaker 1>a history of how to think about the brain, how

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<v Speaker 1>people have thought about it.

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<v Speaker 2>And one of your main points in the book.

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<v Speaker 1>Is that we always draw on our technology as a metaphor.

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<v Speaker 1>So science is not just an accumulation of facts, but

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<v Speaker 1>instead we frame things in particular ways depending on what's

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<v Speaker 1>going on around us.

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<v Speaker 2>So let's start there this.

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<v Speaker 3>Issue that you've just described a metaphor, of the metaphors

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<v Speaker 3>that we use, and how that changes over time. That

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<v Speaker 3>actually gives a frame to the book and makes the history,

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<v Speaker 3>which otherwise might be a bit dull, actually much more

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<v Speaker 3>interesting and enables you to think about how people could

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<v Speaker 3>think the way they didn't, why they couldn't see anything different,

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<v Speaker 3>Because that's always the problem with history, right, I mean,

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<v Speaker 3>it looks so obvious to us, you know how why

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<v Speaker 3>on earth didn't people realize that the brain is the

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<v Speaker 3>center of thought?

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<v Speaker 4>Why do they think it was the heart? And one

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<v Speaker 4>of the rules.

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<v Speaker 3>I think about history, in particular the history of science,

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<v Speaker 3>is that you're not allowed to think that people in

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<v Speaker 3>the past were stupid because they were amazingly smart.

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<v Speaker 4>They just didn't know as much as we know. And

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<v Speaker 4>we only know.

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<v Speaker 3>That most of us because we've read it or we've

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<v Speaker 3>been taught it in class. Relatively few people have actually

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<v Speaker 3>made great breakthroughs that have changed how we think about

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<v Speaker 3>the world. So when you've got these people who are very,

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<v Speaker 3>very clever but can't see something, that the task is

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<v Speaker 3>to try and put yourselves in their heads and say, well,

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<v Speaker 3>what is it they don't understand And it can't just

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<v Speaker 3>be the answer, you know, they didn't understand that nothing

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<v Speaker 3>goes faster than light or whatever. You've got to think about, well,

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<v Speaker 3>what is it the framework that they're living in the

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<v Speaker 3>world they're living in. Trying and put yourselves in their shoes,

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<v Speaker 3>and then it all starts to become clearer. And it also,

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<v Speaker 3>I think for the reader, both the lay reader and

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<v Speaker 3>for scientists becomes much more interesting because then you can

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<v Speaker 3>start to say not only about now, but also about

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<v Speaker 3>the future, about what might be coming and why we

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<v Speaker 3>can't understand certain things at the moment.

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<v Speaker 4>You know.

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<v Speaker 1>One of the things that was quite stunning for me

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<v Speaker 1>is I, like, you, have spent my whole career in neuroscience,

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<v Speaker 1>but it was difficult for me to envision what it

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<v Speaker 1>would have been like to live in neuroscience in an

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<v Speaker 1>era where we didn't know something. So for example, the

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<v Speaker 1>discovery of the action potential. This is where a neuron

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<v Speaker 1>has a spike there, zips down the axon and carries

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<v Speaker 1>signals rapidly in this way. I grew up just taking

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<v Speaker 1>for granted that that's what neurons do.

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<v Speaker 4>That.

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<v Speaker 1>Of course, the brain uses electricity in this sense. But

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<v Speaker 1>you know, you had a whole chapter about electricity and

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<v Speaker 1>how people discovered that that was going on with the brain.

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<v Speaker 2>Give us a sense of that.

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<v Speaker 4>Well, it all began, I guess it began in America

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<v Speaker 4>really with.

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<v Speaker 3>The ability to Franklin to actually bring electricity down very

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<v Speaker 3>dangerous experiments as everybody knows, with kites and keys and

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<v Speaker 3>that kind of thing. But in the eighteenth century people

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<v Speaker 3>began to be able to store electricity. They could produce

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<v Speaker 3>it in the form of static electricity. So they'd get

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<v Speaker 3>some amber or any kind of resin and you know,

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<v Speaker 3>just like you, you know, maybe you do.

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<v Speaker 4>This for your kid.

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<v Speaker 3>So you know when you were a kid, your dad

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<v Speaker 3>would do this. You get a balloon, you rub it

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<v Speaker 3>on his jump and he stick it on the wall. Amazing, right,

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<v Speaker 3>that static electricity you can actually generate by putting say

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<v Speaker 3>some wool onto a resin wheel. That you spin round

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<v Speaker 3>and they would do These people would do these kind

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<v Speaker 3>of party tricks. They were called electricians, right, and they

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<v Speaker 3>would go into your fancy house and they would they

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<v Speaker 3>would do like one of these shows was called the

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<v Speaker 3>Feathered Boy, and they'd get some hapless child and winch

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<v Speaker 3>him up to the ceiling and then they'd charge him

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<v Speaker 3>up with electricity using this amber and cloth, and then

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<v Speaker 3>they'd throw a load of feathers in the air and

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<v Speaker 3>of course they'd all stick on it. So they could

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<v Speaker 3>do stuff like this. And also people were thinking about

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<v Speaker 3>actually using a very primitive form of electroshock therapy. So

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<v Speaker 3>these electricians, when you could generate it, they would travel

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<v Speaker 3>around the countryside, you know, itinerant electricians, so too particularly

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<v Speaker 3>significant figures. So John Wesley, the founder of Methodism, and Maha,

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<v Speaker 3>the French revolutionary, were both itinerant electricians in the UK

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<v Speaker 3>in the eighteenth century.

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<v Speaker 4>Wandering around. Somebody say I'm.

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<v Speaker 3>Feeling really miserable and terrible, and he said, well, just

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<v Speaker 3>hold on to this, and then they'd wind it up

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<v Speaker 3>and bang, you get an electric shark. So scientists knew

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<v Speaker 3>that electricity was doing something, but that didn't mean to

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<v Speaker 3>say that it was how bodies worked, and it became

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<v Speaker 3>increasingly complex as people were able to actually store electricity

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<v Speaker 3>through something called a lidon jar. You'd actually put it

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<v Speaker 3>into a generate this electricity and it would then stay.

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<v Speaker 3>But what happened it was then suddenly discharge if you

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<v Speaker 3>touched it, like touching a cow fence.

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<v Speaker 4>Right, you know, you know you've been touched.

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<v Speaker 3>And so when French scientists didn't experiment with this, he

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<v Speaker 3>got four hundred monks, which is they're all holding hands,

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<v Speaker 3>and at one end he got one of these big

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<v Speaker 3>jars full of electricity and he made the monk touch it,

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<v Speaker 3>and then he watched us that they all jumped up

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<v Speaker 3>as if the chargers down this line of monks must

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<v Speaker 3>have been about whatever eight hundred meters more thousand meters

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<v Speaker 3>kilometer along a monk. And then finally they were able

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<v Speaker 3>to use They were showing that even they're doing experiments

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<v Speaker 3>on animals, like in particular frogs, and they'd noticed that

0:14:08.600 --> 0:14:12.600
<v Speaker 3>if you stimulated a frog nerve on attached to a leg,

0:14:12.640 --> 0:14:16.080
<v Speaker 3>then their muscle would contract. Now this didn't show you

0:14:16.400 --> 0:14:18.280
<v Speaker 3>what was going on, because you know if you put

0:14:18.320 --> 0:14:21.000
<v Speaker 3>acid on a nerve then that it will also contract

0:14:21.040 --> 0:14:23.840
<v Speaker 3>so maybe electricy was just an irritant, or maybe it

0:14:23.880 --> 0:14:25.960
<v Speaker 3>was actually in bodies right, And this was.

0:14:25.920 --> 0:14:26.680
<v Speaker 4>A big argument.

0:14:26.800 --> 0:14:29.240
<v Speaker 3>One of the things that people stuid was electric fish,

0:14:29.280 --> 0:14:33.800
<v Speaker 3>so the electric eel. And they found this structure that

0:14:34.040 --> 0:14:37.160
<v Speaker 3>was produced as shock and at the beginning of the

0:14:37.240 --> 0:14:41.920
<v Speaker 3>nineteenth century chap called vaulta hence vault. He decided he'd

0:14:41.960 --> 0:14:44.960
<v Speaker 3>do a bit of biomimicry. He said, okay, well they've

0:14:45.000 --> 0:14:48.600
<v Speaker 3>got this electric organ. Maybe I can use that electric organ.

0:14:48.640 --> 0:14:50.680
<v Speaker 3>I think I can mimic the structure of this which

0:14:50.720 --> 0:14:55.280
<v Speaker 3>had kind of layers and produce an electric current. And

0:14:55.320 --> 0:14:57.680
<v Speaker 3>so he did created what he called a pile, which

0:14:57.760 --> 0:15:00.600
<v Speaker 3>was layers of zinc and cardboard with los of acid

0:15:00.640 --> 0:15:03.240
<v Speaker 3>around them. And it was because it was a black

0:15:03.320 --> 0:15:07.400
<v Speaker 3>pile of pennies. And this would then produce electricity, but

0:15:07.480 --> 0:15:08.720
<v Speaker 3>at a constant rate.

0:15:09.240 --> 0:15:11.160
<v Speaker 4>Now in English we now call this a battery.

0:15:11.400 --> 0:15:15.360
<v Speaker 3>So you've now got this continuous release of electricity. And

0:15:15.400 --> 0:15:18.600
<v Speaker 3>then you can see, well, actually we can stimulate if

0:15:18.600 --> 0:15:22.640
<v Speaker 3>we put these electrodes onto and they did very horrible

0:15:22.720 --> 0:15:26.280
<v Speaker 3>experiments on animals, dead animals. You know, you could then

0:15:26.320 --> 0:15:28.160
<v Speaker 3>make it if you put electrodes on either side of

0:15:28.480 --> 0:15:31.040
<v Speaker 3>a cow's head, then its mouth would start to move,

0:15:31.080 --> 0:15:34.080
<v Speaker 3>and its eyes would roll in its sockets. And in

0:15:34.120 --> 0:15:38.600
<v Speaker 3>one particularly awful experiment in London, then a criminal who

0:15:38.880 --> 0:15:41.520
<v Speaker 3>killed his wife and child and had been hanged was

0:15:41.600 --> 0:15:44.800
<v Speaker 3>immediately taken down from the gallows as soon as he

0:15:44.880 --> 0:15:47.560
<v Speaker 3>was dead, taken into a small room with about twelve

0:15:47.840 --> 0:15:53.120
<v Speaker 3>learned gentleman and this experiment was done on his dead body,

0:15:53.160 --> 0:15:55.200
<v Speaker 3>and of course he would then, you know, his arms

0:15:55.200 --> 0:15:58.000
<v Speaker 3>started flailing about and all the rest of it.

0:15:58.920 --> 0:16:02.440
<v Speaker 4>That these experiments convinced.

0:16:02.000 --> 0:16:05.200
<v Speaker 3>People that there was electricity in nerves, that it wasn't

0:16:05.240 --> 0:16:07.160
<v Speaker 3>just an irritant, that it was actually some kind of

0:16:07.520 --> 0:16:09.200
<v Speaker 3>organizing principle.

0:16:10.200 --> 0:16:12.240
<v Speaker 1>And by the way, this is starting to be one

0:16:12.240 --> 0:16:15.040
<v Speaker 1>of the origins of Mary Shelley's frankenstn.

0:16:14.720 --> 0:16:18.120
<v Speaker 3>It's not known, but she did regularly go to something

0:16:18.160 --> 0:16:21.760
<v Speaker 3>called the Royal Institution in London, which is still there,

0:16:21.920 --> 0:16:26.360
<v Speaker 3>amazing lecture theater where science is communicated to the public,

0:16:26.400 --> 0:16:29.880
<v Speaker 3>and various British scientists spoke there, and at the beginning

0:16:30.040 --> 0:16:34.720
<v Speaker 3>in about eighteen fourteen, there were a series of demonstrations

0:16:34.760 --> 0:16:38.760
<v Speaker 3>of this power of electricity to animate dead bodies on

0:16:38.960 --> 0:16:40.920
<v Speaker 3>sheep's heads and so on. You can go to the

0:16:40.920 --> 0:16:42.840
<v Speaker 3>theater and see it. I mean, it was a huge,

0:16:43.040 --> 0:16:46.960
<v Speaker 3>huge thing. And we don't know that Mary Godwin went,

0:16:47.000 --> 0:16:48.960
<v Speaker 3>but it's pretty likely she did. And then a couple

0:16:49.000 --> 0:16:51.280
<v Speaker 3>of years later, when she was whatever sixteen, she ran

0:16:51.320 --> 0:16:56.120
<v Speaker 3>off with Shelley and they went on honeymoon. So they

0:16:56.120 --> 0:16:58.520
<v Speaker 3>sat around in Morote ghost stories and she wrote Frankistan.

0:17:13.880 --> 0:17:18.160
<v Speaker 1>One of the fascinations that I enjoyed with reading your

0:17:18.400 --> 0:17:23.600
<v Speaker 1>book was all these things that we learned from biology

0:17:24.040 --> 0:17:27.040
<v Speaker 1>that have created new technologies, like looking at the electric

0:17:27.119 --> 0:17:30.840
<v Speaker 1>eel and the invention of the battery that fade away.

0:17:30.920 --> 0:17:34.119
<v Speaker 1>Now we have a gajillion times more batteries on our

0:17:34.160 --> 0:17:37.320
<v Speaker 1>planet than we have electric eels, but we have forgotten

0:17:37.640 --> 0:17:40.080
<v Speaker 1>where that came from, that biomimicry. So what I really

0:17:40.119 --> 0:17:42.239
<v Speaker 1>loved is the way you tie these things together. So

0:17:42.560 --> 0:17:47.240
<v Speaker 1>tell us about phrenology, the pseudoscience of phrenology that was popular,

0:17:47.240 --> 0:17:50.920
<v Speaker 1>and how you think this actually contributed in a positive

0:17:50.960 --> 0:17:53.120
<v Speaker 1>way to how we think about neuroscience and modern times,

0:17:53.119 --> 0:17:54.760
<v Speaker 1>even though phrenology itself was incorrect.

0:17:54.920 --> 0:17:57.119
<v Speaker 3>If you want to have an argument with a neuroscientist,

0:17:57.200 --> 0:18:01.560
<v Speaker 3>your studies the human brain in particular go groups them together.

0:18:01.680 --> 0:18:06.119
<v Speaker 3>Say is function localized? Is there part of our brain

0:18:06.520 --> 0:18:09.960
<v Speaker 3>that is devoted to doing a particular thing and that

0:18:10.080 --> 0:18:12.720
<v Speaker 3>if you remove it you can't do that thing?

0:18:12.920 --> 0:18:13.160
<v Speaker 4>Right?

0:18:13.320 --> 0:18:17.600
<v Speaker 3>The answer is kind of yes, and no. Man is complicated, right.

0:18:18.000 --> 0:18:21.160
<v Speaker 3>But in the nineteenth century it tormented people a great deal,

0:18:21.200 --> 0:18:25.479
<v Speaker 3>partly because of the influence of French philosophy, and that

0:18:25.560 --> 0:18:28.480
<v Speaker 3>the identification of the brain and the mind caused a

0:18:28.560 --> 0:18:33.080
<v Speaker 3>huge problem because Descartes, who was for the French, the

0:18:33.119 --> 0:18:37.879
<v Speaker 3>philosopher and no need for any other. He insisted that

0:18:37.880 --> 0:18:41.560
<v Speaker 3>the mind was a united structure and therefore the brain

0:18:41.640 --> 0:18:43.280
<v Speaker 3>must be as well. And if you look at the brain,

0:18:43.440 --> 0:18:46.159
<v Speaker 3>it appears identical on either half, got two halves, and

0:18:46.200 --> 0:18:50.120
<v Speaker 3>they look pretty symmetrical. So the French were very convinced

0:18:50.119 --> 0:18:53.560
<v Speaker 3>that there was no localization of function. And yet there

0:18:53.600 --> 0:18:57.600
<v Speaker 3>was this popular idea of phrenology, which is, you know,

0:18:57.920 --> 0:19:00.919
<v Speaker 3>kind of grew up in the late eighteenth cent and

0:19:01.080 --> 0:19:03.480
<v Speaker 3>was basically a version of oh, I don't like the

0:19:03.520 --> 0:19:05.840
<v Speaker 3>look of his face, his eyes are too close together,

0:19:05.960 --> 0:19:08.920
<v Speaker 3>or whatever, you know, version you he's got big ears,

0:19:09.000 --> 0:19:11.320
<v Speaker 3>or whatever. Way of looking at somebody's face and not

0:19:11.440 --> 0:19:13.840
<v Speaker 3>liking them and thinking that they're not shifty or whatever.

0:19:14.040 --> 0:19:17.880
<v Speaker 3>This was then theorized in all sorts of ways by

0:19:18.480 --> 0:19:21.399
<v Speaker 3>various thinkers who argued that by feeling the outside of

0:19:21.440 --> 0:19:24.280
<v Speaker 3>your head skull, you could tell the shape of your

0:19:24.280 --> 0:19:26.719
<v Speaker 3>brain and the lumps on your head, because we've all

0:19:26.760 --> 0:19:32.200
<v Speaker 3>got lumps. They reveal the existence of organs and sections

0:19:32.200 --> 0:19:34.040
<v Speaker 3>of the brain that are doing particular things.

0:19:34.520 --> 0:19:36.480
<v Speaker 4>But rather than say, as.

0:19:36.320 --> 0:19:38.800
<v Speaker 3>You know, you might say, well they're devoted to speech

0:19:38.960 --> 0:19:43.200
<v Speaker 3>or you know, impulsiveness or vision, they were all about

0:19:43.280 --> 0:19:48.879
<v Speaker 3>moral virtues and you know, being goodness and so basically

0:19:48.880 --> 0:19:52.359
<v Speaker 3>it's like astrology, you know. And people would go and

0:19:52.400 --> 0:19:54.480
<v Speaker 3>it was incredibly popular in the nineteenth century, and the

0:19:54.520 --> 0:19:57.040
<v Speaker 3>scientists got really really cross about it because they said, look,

0:19:57.200 --> 0:19:57.760
<v Speaker 3>you know, your.

0:19:57.600 --> 0:19:58.680
<v Speaker 4>Skull's really thick.

0:20:00.000 --> 0:20:01.560
<v Speaker 3>You may have a big lump on your head, but

0:20:01.640 --> 0:20:05.199
<v Speaker 3>there's no lump corresponding lump underneath your brain. So this

0:20:05.320 --> 0:20:08.920
<v Speaker 3>is just rubbish. So this went on until the late

0:20:09.119 --> 0:20:13.240
<v Speaker 3>the early twentieth century. So this is pseudoscience, and despite

0:20:13.240 --> 0:20:17.879
<v Speaker 3>it being widely not accepted, but you know, ordinary people,

0:20:18.080 --> 0:20:20.600
<v Speaker 3>ordinary people from Queen Victoria to Carl Marx all thought

0:20:20.600 --> 0:20:21.600
<v Speaker 3>it was very interesting.

0:20:21.840 --> 0:20:23.679
<v Speaker 4>You know, there was nothing in it. It was complete,

0:20:23.800 --> 0:20:24.520
<v Speaker 4>not of rubbish.

0:20:24.600 --> 0:20:27.919
<v Speaker 3>But what it's got in there is this suggestion that

0:20:28.000 --> 0:20:31.920
<v Speaker 3>maybe there is localization of function. And this is eventually

0:20:32.200 --> 0:20:36.840
<v Speaker 3>resolved in about eighteen sixty when a French scientist called

0:20:36.840 --> 0:20:41.480
<v Speaker 3>Broker was studying the brains of patients who who'd have

0:20:41.680 --> 0:20:43.960
<v Speaker 3>strokes and have lost the power of speech, and he

0:20:44.040 --> 0:20:47.920
<v Speaker 3>found that consistently when he did the dissections, the front

0:20:48.040 --> 0:20:52.320
<v Speaker 3>left and area of the brain was damaged in these

0:20:52.359 --> 0:20:54.399
<v Speaker 3>patients who had lost the power of speech. Patients who

0:20:54.520 --> 0:20:56.679
<v Speaker 3>died and hadn't lost the power of speech did not

0:20:56.680 --> 0:20:58.240
<v Speaker 3>have those leeches legiance.

0:20:58.320 --> 0:20:59.760
<v Speaker 4>And he was really unhappy.

0:20:59.440 --> 0:21:02.399
<v Speaker 3>About this because he was French and this could not

0:21:02.520 --> 0:21:04.919
<v Speaker 3>be and yeah, I mean having I don't know if

0:21:04.920 --> 0:21:07.000
<v Speaker 3>this has happened to you, David, but you know, sometimes

0:21:07.000 --> 0:21:08.960
<v Speaker 3>you collect data and it.

0:21:09.040 --> 0:21:10.359
<v Speaker 4>Just pushes you into a corner.

0:21:10.440 --> 0:21:11.960
<v Speaker 3>You don't want to go to that corner because you

0:21:12.000 --> 0:21:14.159
<v Speaker 3>don't think that's the way it is. But the data

0:21:14.320 --> 0:21:16.119
<v Speaker 3>just in the end you've got no option. You're just

0:21:16.119 --> 0:21:17.480
<v Speaker 3>going to say, well, that's the way it is, this

0:21:17.560 --> 0:21:20.520
<v Speaker 3>is what happens. And poor old Broker had to say

0:21:21.000 --> 0:21:24.200
<v Speaker 3>and shock the French establishment by saying there is localization

0:21:24.240 --> 0:21:27.040
<v Speaker 3>of function. Of course, you can't see anything with the eye,

0:21:27.240 --> 0:21:29.159
<v Speaker 3>the naked eye for this front left hand side of

0:21:29.160 --> 0:21:30.840
<v Speaker 3>the brain. And then a couple and if you saw

0:21:30.840 --> 0:21:33.320
<v Speaker 3>this was a couple of years ago, quite astonishing paper

0:21:34.400 --> 0:21:37.840
<v Speaker 3>was produced between a group of neuroscientists were doing fMRI

0:21:38.119 --> 0:21:42.560
<v Speaker 3>scans and a woman in her thirties was a secretary

0:21:42.560 --> 0:21:45.840
<v Speaker 3>who had a college degree, who wrote to them. She

0:21:45.880 --> 0:21:47.920
<v Speaker 3>saw an advert, you know, saying we're looking for people

0:21:47.960 --> 0:21:49.840
<v Speaker 3>to have brain scanned. She said, I've been told there's

0:21:49.880 --> 0:21:52.360
<v Speaker 3>something interesting about my brain. And they said, okay, yeah,

0:21:52.400 --> 0:21:55.719
<v Speaker 3>come on in. They stuck her in the scanner and

0:21:55.760 --> 0:21:58.280
<v Speaker 3>the left hand brain side of her brain is completely empty.

0:21:58.280 --> 0:22:04.800
<v Speaker 3>There's nothing, there's a hemisphere completely and she has done

0:22:04.960 --> 0:22:08.520
<v Speaker 3>this ever since birth, and yet she can speak perfectly normally.

0:22:08.880 --> 0:22:11.199
<v Speaker 4>You would not know if you didn't use a scan out,

0:22:11.240 --> 0:22:12.040
<v Speaker 4>you'd have no idea.

0:22:13.880 --> 0:22:16.920
<v Speaker 1>I wrote about this in my book Live Wired. And

0:22:17.000 --> 0:22:18.680
<v Speaker 1>you know, you see the same thing. When a child

0:22:18.760 --> 0:22:21.920
<v Speaker 1>gets a hemisphere ectomy, they get half of their brain removed,

0:22:21.960 --> 0:22:24.600
<v Speaker 1>let's say, because of an intractable epilepsy.

0:22:25.119 --> 0:22:26.240
<v Speaker 2>Turns out they're fine.

0:22:26.920 --> 0:22:28.840
<v Speaker 1>And this is because the left and right sides of

0:22:28.880 --> 0:22:31.480
<v Speaker 1>the brain are sort of carbon copies of each other.

0:22:31.480 --> 0:22:34.200
<v Speaker 1>They're redundant for the most part, and so you can

0:22:34.240 --> 0:22:37.639
<v Speaker 1>take one out and the remaining hemisphere just rewires the

0:22:37.680 --> 0:22:40.440
<v Speaker 1>real estate to drive the boat as it needs.

0:22:40.240 --> 0:22:42.280
<v Speaker 4>To as long as you're very young. So it's a

0:22:42.320 --> 0:22:43.320
<v Speaker 4>plasticity thing, right.

0:22:45.440 --> 0:22:49.560
<v Speaker 1>They don't do hemispherectomies after about the age of eight typically, Yeah, yeah.

0:22:49.280 --> 0:22:51.919
<v Speaker 3>So, And there are examples of people who have had

0:22:52.119 --> 0:22:56.119
<v Speaker 3>unbelievable bad damage from strokes who then recovered their function

0:22:56.200 --> 0:22:59.760
<v Speaker 3>completely her adults. But as I'm always very careful to

0:22:59.800 --> 0:23:02.199
<v Speaker 3>say when I explain this to people, is this is

0:23:02.320 --> 0:23:04.680
<v Speaker 3>very rare and in general strokes are pretty bad news.

0:23:04.840 --> 0:23:07.439
<v Speaker 1>What's fascinating about that is sometimes somebody will get a

0:23:07.440 --> 0:23:10.840
<v Speaker 1>stroke on their left side that impacts Broker's area, let's say,

0:23:10.920 --> 0:23:13.720
<v Speaker 1>and they lose the ability to speak, maybe they get

0:23:13.720 --> 0:23:16.000
<v Speaker 1>a lesion of Wernikey's area, or they you know, they

0:23:16.040 --> 0:23:17.159
<v Speaker 1>lose the ability.

0:23:16.800 --> 0:23:20.880
<v Speaker 2>To produce language correctly, they have flu into phasia.

0:23:20.920 --> 0:23:25.480
<v Speaker 1>Okay, what happens is then they recover and people think, well, great,

0:23:25.560 --> 0:23:28.920
<v Speaker 1>somehow that has you know, they have repaired that part

0:23:28.920 --> 0:23:31.520
<v Speaker 1>of the brain. But what's in fact happened is it's

0:23:31.680 --> 0:23:34.280
<v Speaker 1>just moved over to the other hemisphere and now they're

0:23:34.280 --> 0:23:37.199
<v Speaker 1>taking care of language in their right hemisphere. And the

0:23:37.240 --> 0:23:39.760
<v Speaker 1>way this was discovered this was, you know, fifty years ago,

0:23:40.359 --> 0:23:43.239
<v Speaker 1>is then this poor person would let's say, have a

0:23:43.280 --> 0:23:46.520
<v Speaker 1>stroke on their right side and they would lose language again.

0:23:47.200 --> 0:23:50.240
<v Speaker 1>And so what this demonstrates is the massive plasticity the

0:23:50.320 --> 0:23:53.679
<v Speaker 1>ability to move stuff around to other territories on the

0:23:53.920 --> 0:23:54.720
<v Speaker 1>on the brain.

0:23:54.720 --> 0:23:58.480
<v Speaker 4>Which also shows us why the answer is it localized?

0:23:58.520 --> 0:24:01.720
<v Speaker 4>Man is is weird? So yes and no.

0:24:02.080 --> 0:24:04.720
<v Speaker 1>This is the difficulty that neuroscience has always faced with

0:24:04.880 --> 0:24:08.840
<v Speaker 1>the question about localization because sometimes, you know, if a

0:24:08.920 --> 0:24:12.720
<v Speaker 1>bomb drops on the runway of an airport, you'll notice

0:24:12.720 --> 0:24:15.760
<v Speaker 1>that all the planes stop, but you didn't hit the

0:24:15.960 --> 0:24:18.880
<v Speaker 1>airport itself, just the runway. And this is of course

0:24:18.960 --> 0:24:22.520
<v Speaker 1>what always happens with the brain. When we see brain

0:24:22.600 --> 0:24:26.600
<v Speaker 1>damage and some function stops. We don't know if that's

0:24:26.680 --> 0:24:30.000
<v Speaker 1>because that area was the function or just part of

0:24:30.040 --> 0:24:33.160
<v Speaker 1>this larger network that has to be there for things

0:24:33.200 --> 0:24:34.880
<v Speaker 1>to work for the planes to take off.

0:24:35.640 --> 0:24:39.000
<v Speaker 3>I mean, it's a very interesting philosophical and methodological problem

0:24:39.040 --> 0:24:44.000
<v Speaker 3>which people have been arguing about for decades, since since

0:24:44.040 --> 0:24:47.000
<v Speaker 3>the beginning of the twentieth century. And now, of course

0:24:47.040 --> 0:24:49.359
<v Speaker 3>we've got genetics, which does exactly the same thing. Or

0:24:49.400 --> 0:24:52.320
<v Speaker 3>I knocked out this gene it's the gene for X. Well,

0:24:52.720 --> 0:24:55.600
<v Speaker 3>very very occasionally it's the gene for X. But generally

0:24:55.680 --> 0:24:58.720
<v Speaker 3>you've just pulled apart a component, some bit of the

0:24:58.760 --> 0:25:01.720
<v Speaker 3>whole complicated network, and the whole thing falls apart, you know,

0:25:01.920 --> 0:25:03.479
<v Speaker 3>And it's very difficult to know when this is going

0:25:03.520 --> 0:25:06.119
<v Speaker 3>to happen. So analogies of things like bicycle wheels, you

0:25:06.160 --> 0:25:08.199
<v Speaker 3>take a spoke out, you take a spoke out, and

0:25:08.240 --> 0:25:10.320
<v Speaker 3>then eventually the wheel is going to collapse, but you

0:25:10.359 --> 0:25:12.760
<v Speaker 3>can't it's very difficult to predict when. And it doesn't

0:25:12.840 --> 0:25:15.760
<v Speaker 3>necessarily matter which order you take the spokes out or whatever.

0:25:15.920 --> 0:25:19.720
<v Speaker 3>So this is very hard and it's part of the

0:25:19.760 --> 0:25:22.080
<v Speaker 3>problem is it's easy for scientists to get excited about

0:25:22.080 --> 0:25:24.560
<v Speaker 3>this thing. I've got this tool, and it's easy for

0:25:24.600 --> 0:25:28.119
<v Speaker 3>the public to understand because it makes perfect sense. But

0:25:28.480 --> 0:25:30.439
<v Speaker 3>to get back to your starting point, to get to

0:25:30.480 --> 0:25:34.480
<v Speaker 3>the metaphor, if you ask the average person street you know,

0:25:34.560 --> 0:25:36.479
<v Speaker 3>what is the brain like a computer?

0:25:36.600 --> 0:25:39.040
<v Speaker 4>They go, yeah, well sure, but here's the thing.

0:25:39.160 --> 0:25:42.280
<v Speaker 3>You know, You've just explained that you know, strokes or whatever,

0:25:42.320 --> 0:25:45.520
<v Speaker 3>you can recover various elements from a function from them.

0:25:45.520 --> 0:25:48.760
<v Speaker 3>But if I take out the microphone from this computer,

0:25:48.880 --> 0:25:50.920
<v Speaker 3>you just won't hear me. There's no other part of it.

0:25:50.960 --> 0:25:52.320
<v Speaker 3>Is going to rewire it and go okay, well ill

0:25:52.359 --> 0:25:53.960
<v Speaker 3>use the camera instead. I mean, we're done.

0:25:54.400 --> 0:25:56.080
<v Speaker 4>There will be no more podcast.

0:25:56.560 --> 0:26:00.199
<v Speaker 3>And so that that fixity in a machine and the

0:26:00.240 --> 0:26:05.080
<v Speaker 3>flexibility of anything organic, but in particular the brain, that

0:26:05.200 --> 0:26:07.760
<v Speaker 3>just shows they are a different order of thing.

0:26:08.119 --> 0:26:09.640
<v Speaker 1>So, by the way, I want to return to this

0:26:09.720 --> 0:26:13.399
<v Speaker 1>issue about the metaphor of the brain as a computer,

0:26:13.480 --> 0:26:16.119
<v Speaker 1>because you pointed out something surprising in the book that

0:26:16.280 --> 0:26:19.399
<v Speaker 1>people were thinking about this the other way for a while.

0:26:19.480 --> 0:26:22.920
<v Speaker 1>When von Neuman was developing the computer tell us about that.

0:26:23.240 --> 0:26:25.760
<v Speaker 3>We all say the brain is like a computer. But

0:26:26.520 --> 0:26:29.840
<v Speaker 3>when the first computers, like we all use now, the

0:26:29.880 --> 0:26:32.840
<v Speaker 3>one with as you said, von Neumann architecture, when that

0:26:33.040 --> 0:26:35.360
<v Speaker 3>was being developed, what von Neuman said he was going

0:26:35.400 --> 0:26:37.200
<v Speaker 3>to do, and this is his pitch to the US

0:26:37.320 --> 0:26:40.080
<v Speaker 3>government in nineteen forty five to get the vast sums

0:26:40.080 --> 0:26:42.600
<v Speaker 3>of money to build this thing. Why did he she said,

0:26:42.600 --> 0:26:44.080
<v Speaker 3>I'm going to build you a computer and it's going

0:26:44.119 --> 0:26:46.080
<v Speaker 3>to be a computer like the brain.

0:26:46.280 --> 0:26:48.760
<v Speaker 4>And why do I say that? Because I know how

0:26:48.800 --> 0:26:49.800
<v Speaker 4>the brain's wired up.

0:26:49.880 --> 0:26:53.480
<v Speaker 3>How do I know that because two years earlier to

0:26:53.920 --> 0:26:57.399
<v Speaker 3>researchers McCullough, CA and Pits have published a paper on logic.

0:26:57.440 --> 0:26:59.760
<v Speaker 4>It was called the Imminent Logic of the Nervous System

0:27:00.080 --> 0:27:03.080
<v Speaker 4>in which they said, look the way the brain is wider.

0:27:03.200 --> 0:27:04.760
<v Speaker 4>All the nervous systems are wired up.

0:27:05.119 --> 0:27:07.959
<v Speaker 3>You've got things called synapses, which are where one neuron

0:27:08.040 --> 0:27:10.560
<v Speaker 3>sends a message on to another, and you can have

0:27:10.600 --> 0:27:11.600
<v Speaker 3>a straightforward relay.

0:27:11.800 --> 0:27:12.880
<v Speaker 4>That's not very interesting.

0:27:13.040 --> 0:27:16.320
<v Speaker 3>What gets interesting is if you've got some conditionality about

0:27:16.359 --> 0:27:19.879
<v Speaker 3>You could have a two neurons coming in and the

0:27:20.920 --> 0:27:25.840
<v Speaker 3>onward neuron will fire if both of them are inputs

0:27:25.840 --> 0:27:29.679
<v Speaker 3>are firing, or if one but not the other, and

0:27:29.720 --> 0:27:35.679
<v Speaker 3>these basic logical structures, if and then and not. Anybody

0:27:35.680 --> 0:27:38.600
<v Speaker 3>who's done any logic or any programming says, wait a minute,

0:27:38.680 --> 0:27:42.400
<v Speaker 3>I recognize that. And that's what McCulloch said, right, This

0:27:42.440 --> 0:27:45.159
<v Speaker 3>is astonishing. This is how nervous systems are wired up.

0:27:45.240 --> 0:27:47.879
<v Speaker 3>I'm going to build a computer like that now. I mean,

0:27:47.920 --> 0:27:51.360
<v Speaker 3>it's not true. Nervous systems are not wired up like that.

0:27:51.720 --> 0:27:55.119
<v Speaker 3>I mean, but it was a brilliant idea, and the

0:27:55.160 --> 0:27:58.800
<v Speaker 3>idea of that there's this logical structure that enabled our

0:27:58.840 --> 0:28:01.600
<v Speaker 3>brains or any brain function should produce an outcome to

0:28:01.640 --> 0:28:02.639
<v Speaker 3>process information.

0:28:03.280 --> 0:28:05.000
<v Speaker 4>And that's what von Neuman did.

0:28:05.080 --> 0:28:08.200
<v Speaker 3>That architecture is hardwired into the computers that I'm using

0:28:08.240 --> 0:28:09.800
<v Speaker 3>that you're all over the world.

0:28:09.920 --> 0:28:11.679
<v Speaker 4>Every computer in the world uses that.

0:28:12.040 --> 0:28:15.400
<v Speaker 3>Because he thought that mccullor ca and Pits had hit

0:28:15.440 --> 0:28:18.040
<v Speaker 3>on while they had hit on something, but it wasn't

0:28:18.080 --> 0:28:19.480
<v Speaker 3>particularly about neuroscience.

0:28:19.680 --> 0:28:22.960
<v Speaker 1>So let me step back for a second, because this idea,

0:28:23.160 --> 0:28:26.400
<v Speaker 1>this relationship between brains and computers, this is what we're

0:28:26.440 --> 0:28:28.760
<v Speaker 1>all very used to. But give us a sense of

0:28:28.800 --> 0:28:31.360
<v Speaker 1>the metaphors that people had used previously.

0:28:31.680 --> 0:28:35.280
<v Speaker 3>The ancient Greeks, I mean, they thought about either many

0:28:35.320 --> 0:28:39.800
<v Speaker 3>thought about something called numa pneuma. When you read this

0:28:40.040 --> 0:28:42.360
<v Speaker 3>ancient Greek stuff and you think, what is this?

0:28:42.600 --> 0:28:43.160
<v Speaker 4>Is it air?

0:28:43.520 --> 0:28:44.120
<v Speaker 2>Is it wind?

0:28:44.400 --> 0:28:48.040
<v Speaker 3>So there's this aerial phenomenon which they thought was what

0:28:48.280 --> 0:28:50.440
<v Speaker 3>was going on, but they didn't, I mean, and that

0:28:50.600 --> 0:28:53.960
<v Speaker 3>because you know, wind technology is the height of their technology.

0:28:54.040 --> 0:28:56.360
<v Speaker 4>That's what they had, you know, that's what powered ships

0:28:56.400 --> 0:28:57.000
<v Speaker 4>and so on.

0:28:57.320 --> 0:29:01.560
<v Speaker 3>Then The real breakthrough, I think came with Descartes, who

0:29:02.160 --> 0:29:06.479
<v Speaker 3>was in a Parisian park in the sixteen twenties wandering

0:29:06.520 --> 0:29:09.640
<v Speaker 3>around and they had a load of animatronics that these

0:29:09.680 --> 0:29:13.520
<v Speaker 3>statues which all work by hydraulics, which was pretty damn

0:29:13.600 --> 0:29:16.280
<v Speaker 3>cool and better in some respects and clockwork at the time.

0:29:17.000 --> 0:29:20.320
<v Speaker 4>And you know, you'd have a Hercules who would biff

0:29:21.120 --> 0:29:22.960
<v Speaker 4>a dragon on the head with a great being.

0:29:23.000 --> 0:29:24.960
<v Speaker 3>He had a club and he biffed this dragon. You know,

0:29:25.280 --> 0:29:28.040
<v Speaker 3>you go to a theme park and it was basically that.

0:29:28.240 --> 0:29:30.400
<v Speaker 3>But you know, I mean, just like you see old

0:29:30.480 --> 0:29:32.560
<v Speaker 3>CGI today and it looks crap. Mean, this would have

0:29:32.600 --> 0:29:34.800
<v Speaker 3>looked awful, but at the time it was amazing. And

0:29:34.960 --> 0:29:37.720
<v Speaker 3>the key thing is that descar I mean, he didn't

0:29:37.720 --> 0:29:39.520
<v Speaker 3>think they were alive, but he thought, wait a minute,

0:29:39.840 --> 0:29:42.960
<v Speaker 3>maybe that's how our bodies and our nervous systems work.

0:29:43.000 --> 0:29:45.400
<v Speaker 3>And he said, look, he's got this very famous drawing

0:29:45.440 --> 0:29:48.160
<v Speaker 3>of this big kind of man baby touching a fire

0:29:48.800 --> 0:29:51.520
<v Speaker 3>and he says, look, there's some kind of pressure from

0:29:51.560 --> 0:29:52.680
<v Speaker 3>when you touch flane.

0:29:52.800 --> 0:29:54.040
<v Speaker 4>The pressure goes up into the.

0:29:54.040 --> 0:29:59.080
<v Speaker 3>Brain and then it bounces back it reflects, hence eventually

0:29:59.280 --> 0:30:02.719
<v Speaker 3>reflex it bounces back and causes you to pull away

0:30:03.320 --> 0:30:03.960
<v Speaker 3>from the fire.

0:30:04.400 --> 0:30:07.720
<v Speaker 4>Now very quickly people tried to do experiments to see

0:30:07.720 --> 0:30:09.640
<v Speaker 4>whether this was the case. I mean, he constructed a

0:30:09.640 --> 0:30:10.480
<v Speaker 4>whole theory about it.

0:30:11.920 --> 0:30:14.880
<v Speaker 3>By within twenty thirty years and seventeenth century, people had

0:30:15.800 --> 0:30:18.880
<v Speaker 3>done fairly simple things like, you know, chopped a frog's

0:30:19.000 --> 0:30:22.480
<v Speaker 3>nerve and no liquid came spurting out, so it didn't

0:30:22.520 --> 0:30:25.320
<v Speaker 3>look like it was under some kind of hydraulic pressure.

0:30:25.560 --> 0:30:28.120
<v Speaker 3>People thought of other things. Maybe they thought it was

0:30:28.320 --> 0:30:31.680
<v Speaker 3>like a vibration. There's something going down the nerve. If

0:30:31.720 --> 0:30:33.560
<v Speaker 3>you hit a plank at one end, you can feel

0:30:33.560 --> 0:30:36.600
<v Speaker 3>the vibration at the other, which's pretty smart, but there's

0:30:36.640 --> 0:30:38.680
<v Speaker 3>not much you can do about it, and thinking about,

0:30:38.720 --> 0:30:40.560
<v Speaker 3>you know, a load of vibrating planks in your head

0:30:40.600 --> 0:30:42.120
<v Speaker 3>doesn't really help you much.

0:30:42.560 --> 0:30:47.800
<v Speaker 4>So even descartes idea wasn't really usable, but that was

0:30:47.960 --> 0:30:49.160
<v Speaker 4>kind of how it was thought.

0:30:49.240 --> 0:30:53.120
<v Speaker 3>And then with electricity, the big breakthrough wasn't just that

0:30:53.200 --> 0:30:58.000
<v Speaker 3>electricity is what's in this weird chemical way in neurons,

0:30:58.160 --> 0:31:01.200
<v Speaker 3>But as soon as that was applied in the shape

0:31:01.240 --> 0:31:06.560
<v Speaker 3>of the telegraph system, then people immediately drew an analogy

0:31:06.760 --> 0:31:10.400
<v Speaker 3>both ways. They said look, here's there are maps the

0:31:10.520 --> 0:31:14.560
<v Speaker 3>telegraph system in the UK in the eighteen forties with

0:31:14.880 --> 0:31:17.800
<v Speaker 3>all the telegraph wires which were all running along railway

0:31:17.840 --> 0:31:21.960
<v Speaker 3>linees course, going down to London. And what people said

0:31:22.080 --> 0:31:26.600
<v Speaker 3>is London is like the brain of the country and

0:31:26.760 --> 0:31:28.240
<v Speaker 3>it receives information.

0:31:28.480 --> 0:31:29.440
<v Speaker 4>This is a word they use.

0:31:29.480 --> 0:31:32.640
<v Speaker 3>It's information from the provinces and it can also send

0:31:32.720 --> 0:31:37.040
<v Speaker 3>instructions out and tell bits of the body politic what

0:31:37.240 --> 0:31:39.400
<v Speaker 3>to do. And hey, we look at the nervous system,

0:31:39.400 --> 0:31:42.120
<v Speaker 3>because they had fabulous dissections of the human nervous system.

0:31:42.160 --> 0:31:44.800
<v Speaker 3>It's all going up into the brain and motor uron's

0:31:44.840 --> 0:31:47.840
<v Speaker 3>coming down, et cetera. So this parallel was now we've

0:31:47.840 --> 0:31:50.360
<v Speaker 3>gone from water that don't really make much sense or

0:31:50.480 --> 0:31:55.240
<v Speaker 3>something electric. Now we've got a real communication metaphor of

0:31:55.840 --> 0:32:00.400
<v Speaker 3>the telegraph system. And this chap called Alfred Smith, he

0:32:01.000 --> 0:32:03.680
<v Speaker 3>was absolutely convinced that literally this was what was going

0:32:03.760 --> 0:32:07.160
<v Speaker 3>on inside the nervous system. And he even invented the

0:32:07.280 --> 0:32:11.360
<v Speaker 3>facts or a kind of telegraph, the photo.

0:32:11.600 --> 0:32:12.440
<v Speaker 4>He said, if you could get.

0:32:12.320 --> 0:32:14.520
<v Speaker 3>A photo electric cell and send a man image down

0:32:14.560 --> 0:32:16.800
<v Speaker 3>a telegraph, why you could should be able to reproduce

0:32:16.840 --> 0:32:18.640
<v Speaker 3>it at the other end. So you'd actually get and

0:32:18.720 --> 0:32:20.480
<v Speaker 3>that's what's going on in your eyes, he said, going

0:32:20.520 --> 0:32:23.440
<v Speaker 3>into your brain. And he drew these amazing diagrams which

0:32:23.440 --> 0:32:25.320
<v Speaker 3>and I show them to computation neuroscientists.

0:32:25.320 --> 0:32:28.120
<v Speaker 4>They get so excited because it looks like a primitive

0:32:28.240 --> 0:32:31.080
<v Speaker 4>version of you know, the large language models that.

0:32:31.440 --> 0:32:35.479
<v Speaker 3>Everybody's excited about these days, all these crisscross interactions. I mean,

0:32:35.520 --> 0:32:37.480
<v Speaker 3>I've tried to make head and tail of what he

0:32:37.560 --> 0:32:39.800
<v Speaker 3>was getting at, and I think he was basically bonkers.

0:32:39.840 --> 0:32:43.760
<v Speaker 3>And he hads to have looked. It looks it looks familiar,

0:32:43.960 --> 0:32:47.080
<v Speaker 3>but it was actually insane. He made it, made a

0:32:47.160 --> 0:32:50.320
<v Speaker 3>model of the brain out of brass, these strange bits

0:32:50.360 --> 0:32:52.920
<v Speaker 3>of brass that he shows in his drawings, and you

0:32:53.040 --> 0:32:54.720
<v Speaker 3>look at it and think, I don't you know what

0:32:54.840 --> 0:32:58.720
<v Speaker 3>could this do? How could this process information in any

0:32:58.800 --> 0:33:01.520
<v Speaker 3>meaningful way? And there so you know, we got electricity.

0:33:01.600 --> 0:33:04.720
<v Speaker 3>And then in the eighteen eighties you've got the problem

0:33:04.760 --> 0:33:07.720
<v Speaker 3>about telegraph wise is it's just the static. They don't change,

0:33:08.000 --> 0:33:10.320
<v Speaker 3>whereas we know that the brain has to respond to

0:33:10.360 --> 0:33:12.800
<v Speaker 3>all sorts of different signals. And then the big change

0:33:13.320 --> 0:33:17.520
<v Speaker 3>was the advent of the telephone and the telephone exchange

0:33:17.640 --> 0:33:19.800
<v Speaker 3>because younger listeners.

0:33:19.440 --> 0:33:21.280
<v Speaker 4>Will have no idea what one of these is.

0:33:21.360 --> 0:33:25.280
<v Speaker 3>There's there's something called a telephone exchange where what would

0:33:25.320 --> 0:33:28.000
<v Speaker 3>happen is you pick up your phone. You can see

0:33:28.000 --> 0:33:30.520
<v Speaker 3>this in old silent movies on YouTube. You pick up

0:33:30.560 --> 0:33:33.760
<v Speaker 3>your phone and there's a telephone operator who was normally

0:33:33.840 --> 0:33:36.800
<v Speaker 3>a woman in the exchange, and she would a light

0:33:36.880 --> 0:33:38.360
<v Speaker 3>would come on saying you picked up your phone.

0:33:38.400 --> 0:33:41.760
<v Speaker 4>She would connect a wire to your light, and you would.

0:33:41.560 --> 0:33:44.280
<v Speaker 3>Then ask for a particular number, and she would then

0:33:44.360 --> 0:33:47.240
<v Speaker 3>connect the other end of that wire to that number.

0:33:47.960 --> 0:33:50.880
<v Speaker 3>So you've got this flexibility. It's a switchboard, and I

0:33:50.960 --> 0:33:52.920
<v Speaker 3>mean it's not bad. I mean it is in a

0:33:53.000 --> 0:33:56.240
<v Speaker 3>way because you're rerouting information. There's nothing permanent, there's no

0:33:56.400 --> 0:34:00.520
<v Speaker 3>fixed connections that can all be flexible. And that carries

0:34:00.600 --> 0:34:05.320
<v Speaker 3>on into the First World War, and that's where ideas

0:34:05.320 --> 0:34:10.680
<v Speaker 3>about information start to appear. Before this is mathematized, people

0:34:10.840 --> 0:34:13.319
<v Speaker 3>started to use the word information. In particular chap called

0:34:13.440 --> 0:34:17.080
<v Speaker 3>Edgar Adrian, who's beloved of electrophysiologists, but unknown to most people.

0:34:17.320 --> 0:34:19.759
<v Speaker 3>He won the Nobel Prize. Two of his students won

0:34:19.800 --> 0:34:22.680
<v Speaker 3>the Nobel Prize. He was the president of the Royal Society.

0:34:22.719 --> 0:34:24.759
<v Speaker 3>He was the vice chancellor of Cambridge University. I mean

0:34:24.800 --> 0:34:28.600
<v Speaker 3>you could not get greater accolades than that. And now

0:34:29.000 --> 0:34:31.480
<v Speaker 3>nobody knows who he is apart from the students at

0:34:31.480 --> 0:34:34.160
<v Speaker 3>the University of Lesdoo got an Adrian building. Anyway, he

0:34:34.280 --> 0:34:38.160
<v Speaker 3>writes these popular science books and he tries to show

0:34:38.719 --> 0:34:42.080
<v Speaker 3>to explain to people what's happening. His first person to

0:34:42.120 --> 0:34:44.760
<v Speaker 3>record from a single neuron, to record a single spike.

0:34:44.840 --> 0:34:47.759
<v Speaker 3>You can see it going down there as you described it.

0:34:48.280 --> 0:34:52.120
<v Speaker 3>And he also shows a spike is either on or off.

0:34:52.200 --> 0:34:54.560
<v Speaker 3>You either have it or you don't, so it's all

0:34:54.719 --> 0:34:58.520
<v Speaker 3>or none, as it said. What the nervous system does

0:34:58.640 --> 0:35:02.520
<v Speaker 3>with the information of spikes is to actually group them together.

0:35:03.360 --> 0:35:06.080
<v Speaker 3>And it's an in the code as he called it.

0:35:06.160 --> 0:35:09.440
<v Speaker 3>He talked about codes in nervous systems, so are codes

0:35:09.520 --> 0:35:12.360
<v Speaker 3>carrying information. And he has this lovely diagram of a

0:35:12.960 --> 0:35:15.360
<v Speaker 3>again another poor old frog. It's the end of a

0:35:15.600 --> 0:35:18.640
<v Speaker 3>stretch a neuron which is attached to a stretch receptor.

0:35:18.719 --> 0:35:21.239
<v Speaker 3>It's a stretch receptor attached to a muscle, and he

0:35:21.320 --> 0:35:24.000
<v Speaker 3>puts increasing weights on it. And as he puts more

0:35:24.000 --> 0:35:27.120
<v Speaker 3>and more weights, the cell stretches and you get more

0:35:27.320 --> 0:35:30.920
<v Speaker 3>and more spikes, so it's still it's digital in the

0:35:31.000 --> 0:35:34.279
<v Speaker 3>sense it's all or nothing each of those spikes. But

0:35:34.440 --> 0:35:37.640
<v Speaker 3>what the nervous system is seeing is not zeros and ones.

0:35:38.040 --> 0:35:41.480
<v Speaker 3>It's seeing an intensity code and a frequency code. How

0:35:41.520 --> 0:35:44.399
<v Speaker 3>many spikes have there been a second perhaps even how

0:35:44.480 --> 0:35:46.319
<v Speaker 3>they organized within a unit time.

0:35:46.400 --> 0:35:48.960
<v Speaker 4>These are all stuff that people are still very interested in.

0:35:49.400 --> 0:35:52.560
<v Speaker 3>So then when you finally get the computer all the

0:35:52.960 --> 0:35:56.120
<v Speaker 3>in the mid late forties, early fifties, it all kinds

0:35:56.120 --> 0:35:57.040
<v Speaker 3>of starts to make sense.

0:35:57.120 --> 0:36:02.000
<v Speaker 4>Yes, and this is where we this is part of

0:36:02.120 --> 0:36:05.160
<v Speaker 4>my You know, we haven't gone any further, right, I

0:36:05.239 --> 0:36:23.120
<v Speaker 4>don't think, so let me ask you this.

0:36:23.760 --> 0:36:26.040
<v Speaker 2>When I read your book, I was curious your opinion

0:36:26.120 --> 0:36:26.279
<v Speaker 2>on this.

0:36:26.440 --> 0:36:30.200
<v Speaker 1>So you published this in twenty twenty, and since that time,

0:36:30.719 --> 0:36:34.960
<v Speaker 1>we've had this explosion with the transformer architecture and large

0:36:35.040 --> 0:36:38.359
<v Speaker 1>language models, which have changed the game a little bit,

0:36:38.440 --> 0:36:40.359
<v Speaker 1>by which I mean, I think this is probably true

0:36:40.400 --> 0:36:44.800
<v Speaker 1>for both of us. You know, our whole career in neuroscience,

0:36:44.880 --> 0:36:48.279
<v Speaker 1>we always looked at AI and sort of snickered at

0:36:48.320 --> 0:36:50.160
<v Speaker 1>the idea that it was going to be anything as

0:36:50.200 --> 0:36:52.719
<v Speaker 1>good as the brain, And then suddenly just a few

0:36:52.800 --> 0:36:56.320
<v Speaker 1>years ago, it's got quite extraordinary, and so I'm curious

0:36:56.400 --> 0:36:59.839
<v Speaker 1>how you think that changes the metaphors that we're using now.

0:37:00.239 --> 0:37:02.759
<v Speaker 1>And I think we would probably agree that there's never

0:37:02.880 --> 0:37:04.720
<v Speaker 1>going to be a perfect metaphor.

0:37:05.760 --> 0:37:08.440
<v Speaker 2>But how do you think LM's change the way we're

0:37:08.480 --> 0:37:09.200
<v Speaker 2>talking about things?

0:37:09.440 --> 0:37:11.480
<v Speaker 4>Well, honestly, how they can help? How do they work?

0:37:12.280 --> 0:37:13.040
<v Speaker 2>Well, they don't know.

0:37:13.800 --> 0:37:16.600
<v Speaker 4>Yeah, so if you have Jeffrey Hinton, how does it work?

0:37:16.680 --> 0:37:18.040
<v Speaker 4>He goes, I don't know.

0:37:18.600 --> 0:37:20.719
<v Speaker 2>So this is a really interesting thing though.

0:37:20.840 --> 0:37:25.520
<v Speaker 1>So for example, you and I both are interested in,

0:37:25.640 --> 0:37:29.640
<v Speaker 1>let's say Eve Martyr's work where she tries to describe

0:37:29.760 --> 0:37:30.280
<v Speaker 1>the lobster.

0:37:31.160 --> 0:37:32.200
<v Speaker 4>The example I give.

0:37:32.080 --> 0:37:34.800
<v Speaker 1>You great, Okay, great, so well here, why don't you

0:37:34.800 --> 0:37:36.520
<v Speaker 1>go ahead and give it about Eve Martyr. But the

0:37:36.600 --> 0:37:39.400
<v Speaker 1>point I want to make is that the questions that

0:37:39.640 --> 0:37:43.640
<v Speaker 1>remain about what's happening in neuroscience, we have the same

0:37:43.760 --> 0:37:46.120
<v Speaker 1>explainability crisis with lllm's.

0:37:46.360 --> 0:37:47.799
<v Speaker 2>So they're not distinguished in that way.

0:37:48.360 --> 0:37:52.800
<v Speaker 3>No, indeed, absolutely right, But rather it's so the example

0:37:52.880 --> 0:37:54.960
<v Speaker 3>in the Eve martt so, yes, it's the lobster's stomach.

0:37:55.080 --> 0:37:56.839
<v Speaker 3>She has spent a whole less a very smart woman

0:37:56.880 --> 0:38:00.680
<v Speaker 3>spent her whole academic career studying the thirteen years that

0:38:01.200 --> 0:38:04.719
<v Speaker 3>make up the system that controls them the activity of

0:38:04.719 --> 0:38:07.200
<v Speaker 3>the lobster's stomach, and the lobster's stomach has to grind

0:38:07.280 --> 0:38:09.520
<v Speaker 3>up its food a bit like a gizzard in a chicken,

0:38:10.000 --> 0:38:13.160
<v Speaker 3>and it's got two rhythms, two ways of doing this,

0:38:13.320 --> 0:38:15.879
<v Speaker 3>and this is controlled by the neurons. And she knows

0:38:16.080 --> 0:38:20.560
<v Speaker 3>everything about those neurons. She knows the genes that are expressed,

0:38:20.640 --> 0:38:24.400
<v Speaker 3>she knows all about the neurotransmitters, the neural hormones that

0:38:24.520 --> 0:38:27.440
<v Speaker 3>they bathe in that kind of modulate the way that

0:38:27.560 --> 0:38:30.840
<v Speaker 3>it all activates. But at the moment, she cannot explain,

0:38:31.000 --> 0:38:34.000
<v Speaker 3>using the tools we've had up to now, why those

0:38:34.080 --> 0:38:37.880
<v Speaker 3>thirty neurons produce those two rhythms and not others, because

0:38:37.960 --> 0:38:40.000
<v Speaker 3>according to the models, they should be able to do

0:38:40.080 --> 0:38:44.479
<v Speaker 3>other things, but they don't. And she can't predict, either

0:38:44.840 --> 0:38:47.360
<v Speaker 3>experimentally or with a model, or by a conjunction of

0:38:47.360 --> 0:38:49.479
<v Speaker 3>the two, what will happen if she is to alter

0:38:49.520 --> 0:38:52.279
<v Speaker 3>the activity of one of those components. So, yeah, I mean,

0:38:52.320 --> 0:38:54.680
<v Speaker 3>I take your point. This is, you know, we've got

0:38:54.760 --> 0:38:59.960
<v Speaker 3>two completely inexplicable things we don't understand what's going on

0:39:00.200 --> 0:39:03.280
<v Speaker 3>in the LLLM. But that's partly because the way it's built.

0:39:03.400 --> 0:39:06.239
<v Speaker 1>It feels like the LM should be so straightforward to

0:39:06.320 --> 0:39:09.279
<v Speaker 1>understand in the sense that we've put it in there.

0:39:09.360 --> 0:39:11.680
<v Speaker 1>It's a cartoon model of the brain in the sense

0:39:11.680 --> 0:39:14.400
<v Speaker 1>that it's just units and connections between the units. And

0:39:14.960 --> 0:39:18.440
<v Speaker 1>what this illustrates, I think is once things reach some

0:39:18.640 --> 0:39:22.080
<v Speaker 1>level of complexity, it's not clear that we have the

0:39:22.200 --> 0:39:26.480
<v Speaker 1>correct metaphors or the correct tools and science to capture

0:39:26.520 --> 0:39:27.120
<v Speaker 1>it in some way.

0:39:27.320 --> 0:39:27.520
<v Speaker 4>Yeah.

0:39:27.600 --> 0:39:30.640
<v Speaker 3>I mean, like everybody, I'm amazed by what the LLMS

0:39:30.719 --> 0:39:35.880
<v Speaker 3>can do. But I mean today, may this will all

0:39:35.960 --> 0:39:38.360
<v Speaker 3>be old news by the time this is released. But

0:39:38.560 --> 0:39:41.000
<v Speaker 3>today the big thing is chut GPT fives come out

0:39:41.480 --> 0:39:44.239
<v Speaker 3>and it still doesn't know how many bees there are

0:39:44.280 --> 0:39:47.400
<v Speaker 3>in blueberry, right, And it gets very indignant and insists

0:39:47.440 --> 0:39:50.080
<v Speaker 3>that there are three because the capital letter counts for two,

0:39:50.320 --> 0:39:53.359
<v Speaker 3>or because the bee in the middle for berry counts

0:39:53.400 --> 0:39:53.640
<v Speaker 3>for two.

0:39:53.680 --> 0:39:55.360
<v Speaker 4>I mean, you know, so people are arguing with it,

0:39:55.560 --> 0:39:57.160
<v Speaker 4>and this thing sounds real.

0:39:57.400 --> 0:39:59.719
<v Speaker 3>It sounds that it knows what it's talking about, you know,

0:40:00.200 --> 0:40:04.000
<v Speaker 3>So it's that's very confident.

0:40:04.120 --> 0:40:07.280
<v Speaker 1>Here's what seems clear though, is that they are intelligent

0:40:07.400 --> 0:40:11.320
<v Speaker 1>in a different way, as in, they get some simple

0:40:11.400 --> 0:40:14.680
<v Speaker 1>things wrong, but they also do quite extraordinary other things

0:40:14.760 --> 0:40:15.680
<v Speaker 1>that we're no good at.

0:40:16.160 --> 0:40:19.960
<v Speaker 2>So it's like we've invented a species that it is

0:40:20.040 --> 0:40:21.239
<v Speaker 2>just a bit different from us.

0:40:21.440 --> 0:40:24.600
<v Speaker 4>So that is that true? I mean, you know you

0:40:24.680 --> 0:40:26.759
<v Speaker 4>can why is it intelligent?

0:40:26.800 --> 0:40:28.759
<v Speaker 3>I mean you've got any Any machine that you have

0:40:29.760 --> 0:40:32.400
<v Speaker 3>enables you to do things that you can't do yourself.

0:40:32.480 --> 0:40:35.080
<v Speaker 3>I mean, draw a straight line, right, I can draw

0:40:35.160 --> 0:40:37.400
<v Speaker 3>straight line on my computer in a way that I

0:40:37.480 --> 0:40:40.680
<v Speaker 3>can't with my hand and a pencil, and I can

0:40:40.719 --> 0:40:42.360
<v Speaker 3>do it better with a pencil than I can with

0:40:42.680 --> 0:40:43.040
<v Speaker 3>a rock.

0:40:43.719 --> 0:40:44.080
<v Speaker 2>That's right.

0:40:44.160 --> 0:40:46.560
<v Speaker 1>But I think the surprise has been for us the

0:40:46.680 --> 0:40:49.600
<v Speaker 1>way that it can put ideas together in ways that

0:40:49.880 --> 0:40:53.800
<v Speaker 1>had seemed just a few years ago like some magical

0:40:53.920 --> 0:40:55.360
<v Speaker 1>thing that only humans could do.

0:40:55.560 --> 0:40:58.080
<v Speaker 2>Writing a pair of you can ask you look, Jimmy.

0:40:57.880 --> 0:41:00.640
<v Speaker 1>A shakespeareance on it, where you know, poke Kiemon meets

0:41:00.680 --> 0:41:02.880
<v Speaker 1>Godzilla on the surface of Mars, and it does it

0:41:03.000 --> 0:41:08.080
<v Speaker 1>instantly and extraordinarily, And these sorts of things we would

0:41:08.120 --> 0:41:08.360
<v Speaker 1>not have.

0:41:08.440 --> 0:41:10.040
<v Speaker 2>Expected even just a few years ago.

0:41:10.480 --> 0:41:12.440
<v Speaker 3>Yeah, and we probably would have expected they'd know how

0:41:12.480 --> 0:41:13.879
<v Speaker 3>many bays they were in blue booth.

0:41:14.000 --> 0:41:16.400
<v Speaker 2>Yeah, exactly, so it's doing something.

0:41:16.680 --> 0:41:19.959
<v Speaker 1>But here's my question for you, is the metaphor has

0:41:20.320 --> 0:41:23.239
<v Speaker 1>changed a bit just the last few years from von

0:41:23.320 --> 0:41:28.200
<v Speaker 1>Neumann computers to having these large language models. That change

0:41:28.239 --> 0:41:31.120
<v Speaker 1>a little bit the way we think about what might

0:41:31.239 --> 0:41:33.440
<v Speaker 1>be happening in the brain, whether or not it's correct

0:41:33.920 --> 0:41:35.120
<v Speaker 1>that that's what's happening in the brain.

0:41:35.280 --> 0:41:38.560
<v Speaker 2>For young people who are growing up right now thinking.

0:41:38.320 --> 0:41:41.400
<v Speaker 1>About large language models and thinking about the brain, the

0:41:41.560 --> 0:41:44.560
<v Speaker 1>metaphors are going to carry over in terms of Okay,

0:41:44.600 --> 0:41:47.399
<v Speaker 1>what if you just have a giant network with lots

0:41:47.440 --> 0:41:50.800
<v Speaker 1>of connections and you can pay attention in the network

0:41:51.160 --> 0:41:55.800
<v Speaker 1>to certain words. That's going to be the next crop

0:41:55.880 --> 0:41:58.680
<v Speaker 1>of scientists are all going to draw on that metaphor.

0:41:58.920 --> 0:42:01.480
<v Speaker 4>I mean, in a way we've been here for a

0:42:01.560 --> 0:42:01.920
<v Speaker 4>long time.

0:42:02.040 --> 0:42:05.399
<v Speaker 3>Francis Crick, as everybody knows, co discover the double heading

0:42:05.400 --> 0:42:08.080
<v Speaker 3>structure of the DNA in nineteen fifty three with Jim

0:42:08.120 --> 0:42:10.160
<v Speaker 3>Watson on the basis of work that been done by

0:42:10.520 --> 0:42:13.879
<v Speaker 3>Maurice Wilkins and Russell and Franklin, and then he worked

0:42:13.920 --> 0:42:16.880
<v Speaker 3>in molecular genetics and then in the mid seventies he

0:42:16.960 --> 0:42:20.480
<v Speaker 3>decides he's going to move into neuroscience, and then I'm

0:42:20.560 --> 0:42:25.680
<v Speaker 3>working on the book, and always in every chapter except

0:42:25.719 --> 0:42:30.120
<v Speaker 3>the chapter on neurotransmitters, Crick popped up. And he wasn't

0:42:30.200 --> 0:42:32.440
<v Speaker 3>just popping up as you know, to somebody who was

0:42:32.520 --> 0:42:36.640
<v Speaker 3>on the fringes. He was actually driving ideas and thinking

0:42:36.920 --> 0:42:39.560
<v Speaker 3>and so on. In particular I was particularly impressed by

0:42:40.239 --> 0:42:44.719
<v Speaker 3>was his embracing of something that was called parallel distributed programming,

0:42:45.280 --> 0:42:50.359
<v Speaker 3>which was developed by Jeffrey Hinton and others in San

0:42:50.400 --> 0:42:54.400
<v Speaker 3>Diego and around San Diego in California in the mid eighties,

0:42:54.520 --> 0:42:57.120
<v Speaker 3>which is the ancestor of today's LMS.

0:42:57.360 --> 0:42:58.880
<v Speaker 4>He knew John Hotfield and hot.

0:42:58.760 --> 0:43:01.840
<v Speaker 3>Field and Hint of just won the Nobel Prize in

0:43:01.920 --> 0:43:06.080
<v Speaker 3>Physics last year for their work on these neural networks

0:43:06.400 --> 0:43:09.000
<v Speaker 3>and all the rest of it. And people were amazed

0:43:09.040 --> 0:43:11.480
<v Speaker 3>by what these very very primitive neural networks could do.

0:43:11.600 --> 0:43:14.480
<v Speaker 3>Because there'd been something called the AI winter from the

0:43:14.520 --> 0:43:17.720
<v Speaker 3>excitement of the nineteen fifties. In the nineteen sixties and seventies,

0:43:17.760 --> 0:43:19.839
<v Speaker 3>people thought, actually, this isn't just isn't going to work,

0:43:20.000 --> 0:43:20.719
<v Speaker 3>and you.

0:43:20.719 --> 0:43:23.680
<v Speaker 4>Know, no funding FREEI was a disaster.

0:43:24.040 --> 0:43:26.799
<v Speaker 3>And then these tiny little programs were developed which could

0:43:26.800 --> 0:43:30.800
<v Speaker 3>do things like learn the past tense is of English verbs,

0:43:31.120 --> 0:43:31.440
<v Speaker 3>and they.

0:43:31.360 --> 0:43:33.000
<v Speaker 4>Would make mistakes like a human child.

0:43:33.040 --> 0:43:36.720
<v Speaker 3>That's so even if you told that told the computer

0:43:36.840 --> 0:43:40.719
<v Speaker 3>that the past participle of go is went, it would

0:43:40.800 --> 0:43:43.560
<v Speaker 3>say God, just like child. That's you know, so it's

0:43:43.640 --> 0:43:51.040
<v Speaker 3>generalizing the e the most frequently accounted version, even though

0:43:51.239 --> 0:43:54.680
<v Speaker 3>it's been told differently. So that got people are very excited,

0:43:54.800 --> 0:43:58.040
<v Speaker 3>and Crick throughout this period was very impressed by these things,

0:43:58.080 --> 0:44:02.680
<v Speaker 3>but he was continually arguing people saying, look, your models

0:44:02.920 --> 0:44:06.240
<v Speaker 3>are amazing, but as models of the brain, they've.

0:44:06.080 --> 0:44:07.560
<v Speaker 4>Got to be biologically relevant.

0:44:07.560 --> 0:44:10.600
<v Speaker 3>They've got to be structured've got to have an organization,

0:44:11.280 --> 0:44:13.600
<v Speaker 3>and that is similar to what's going on in the brain,

0:44:13.640 --> 0:44:16.200
<v Speaker 3>which we didn't have much idea about. And if it

0:44:16.360 --> 0:44:19.920
<v Speaker 3>relies upon, in particular, something called back propagation, which is

0:44:19.960 --> 0:44:22.480
<v Speaker 3>where the signal comes back and goes up through the

0:44:22.560 --> 0:44:28.120
<v Speaker 3>same connections in these computer programs, these connections equipment of neurons,

0:44:28.120 --> 0:44:30.640
<v Speaker 3>and there isn't any backprop you know, it doesn't work

0:44:30.680 --> 0:44:32.160
<v Speaker 3>that way. And yes, you know work arounds, but that's

0:44:32.200 --> 0:44:34.440
<v Speaker 3>not the way it works. He got very irate with

0:44:35.000 --> 0:44:38.279
<v Speaker 3>his erstwhile colleagues and friends because of that, And that's

0:44:38.680 --> 0:44:41.160
<v Speaker 3>clearly right. You know, if you want to understand the

0:44:41.239 --> 0:44:46.000
<v Speaker 3>human brain rather than perhaps you know, understand the eerie

0:44:46.320 --> 0:44:50.080
<v Speaker 3>alien intelligence, if you want to stand human consciousness, then

0:44:50.160 --> 0:44:51.719
<v Speaker 3>you've got to keep that in mind, I think, and

0:44:51.840 --> 0:44:55.000
<v Speaker 3>crit was right about that. So until we need to

0:44:55.120 --> 0:44:57.480
<v Speaker 3>know how they're doing what they're doing, I think for

0:44:57.560 --> 0:45:00.840
<v Speaker 3>it to be a really useful model.

0:45:01.680 --> 0:45:02.879
<v Speaker 2>So okay, a couple of things.

0:45:02.960 --> 0:45:06.960
<v Speaker 1>First, I still assert that the lms are going to

0:45:07.280 --> 0:45:10.239
<v Speaker 1>change our metaphors the way that people of the next

0:45:10.280 --> 0:45:14.440
<v Speaker 1>generation talk about the brain, correctly or incorrectly.

0:45:14.520 --> 0:45:16.640
<v Speaker 2>It's going to change the way they talk about it.

0:45:16.760 --> 0:45:20.759
<v Speaker 1>And and of course there's a history back to you know,

0:45:20.880 --> 0:45:24.759
<v Speaker 1>parallel distributed computation and well before that as well. But

0:45:25.160 --> 0:45:27.400
<v Speaker 1>but there are step changes, and I think we've just

0:45:27.480 --> 0:45:30.120
<v Speaker 1>experienced one. So that's that's my assertion.

0:45:30.200 --> 0:45:31.719
<v Speaker 4>I was just wondering, if you know, I mean, you

0:45:32.080 --> 0:45:34.279
<v Speaker 4>may well be right. You know, I can't. I I

0:45:34.840 --> 0:45:38.160
<v Speaker 4>it'd be very interesting to see, and I just want

0:45:38.200 --> 0:45:39.120
<v Speaker 4>a bit more meat on it.

0:45:40.320 --> 0:45:42.400
<v Speaker 1>Yeah, you know, it may it may be that it

0:45:42.560 --> 0:45:45.600
<v Speaker 1>just requires some years before we see what that what

0:45:45.719 --> 0:45:48.040
<v Speaker 1>that meat looks like on the book. Yeah, let me

0:45:48.160 --> 0:45:51.040
<v Speaker 1>jump to another topic that I was that I loved

0:45:51.080 --> 0:45:53.640
<v Speaker 1>reading about in your book. One of the things that

0:45:53.719 --> 0:45:56.239
<v Speaker 1>I talk about on this podcast, probably more than anything else,

0:45:56.360 --> 0:45:59.160
<v Speaker 1>is this concept of the internal model. In other words,

0:45:59.239 --> 0:46:01.719
<v Speaker 1>your brain is locked in silence and darkness and it's

0:46:01.840 --> 0:46:03.960
<v Speaker 1>making a model of the outside world. And it does

0:46:04.040 --> 0:46:06.960
<v Speaker 1>this eventually so it can better predict what's going to

0:46:07.600 --> 0:46:11.000
<v Speaker 1>happen next. And the thing that I hadn't quite clocked

0:46:11.040 --> 0:46:14.000
<v Speaker 1>until I read your book is that, at least the

0:46:14.040 --> 0:46:15.719
<v Speaker 1>way that you put it, it's sort of correct me

0:46:15.760 --> 0:46:19.760
<v Speaker 1>if I'm wrong here. It started with the young Craike

0:46:20.160 --> 0:46:24.479
<v Speaker 1>in England who wrote a paper, and then other people

0:46:24.560 --> 0:46:26.239
<v Speaker 1>picked up on this idea. Give us, give us that

0:46:26.320 --> 0:46:27.720
<v Speaker 1>story about the internal model.

0:46:28.440 --> 0:46:31.400
<v Speaker 3>It really goes back to Helmholtz, who's the guy who

0:46:31.400 --> 0:46:36.479
<v Speaker 3>discovers the all or nothing action potential. What Helmholtz said

0:46:37.120 --> 0:46:41.080
<v Speaker 3>is that because there's a big argument about ah, is

0:46:41.160 --> 0:46:45.879
<v Speaker 3>the activity in say, your optic nerve, is it qualitatively

0:46:46.000 --> 0:46:50.640
<v Speaker 3>different from the activity in your auditory nerve? And what

0:46:51.000 --> 0:46:54.759
<v Speaker 3>Helmholtz said, it's all the same. It's just activity. And

0:46:54.920 --> 0:46:57.960
<v Speaker 3>the difference is is what your brain makes of that signal.

0:46:58.400 --> 0:47:01.759
<v Speaker 3>And what he says is that the brain gets stimulated

0:47:01.880 --> 0:47:05.440
<v Speaker 3>and then it makes an inference about what that means,

0:47:05.560 --> 0:47:07.680
<v Speaker 3>about what that is, and you can you can see

0:47:07.719 --> 0:47:10.239
<v Speaker 3>this really easily, but don't do it very hard. The

0:47:10.360 --> 0:47:14.000
<v Speaker 3>pressure eyeballs. Shut your eyes, pressure eyeballs, and you see colors,

0:47:14.960 --> 0:47:17.680
<v Speaker 3>but there is no light. What is happening is those

0:47:17.760 --> 0:47:21.080
<v Speaker 3>neurons are being activated by pressure and they're sending a

0:47:21.120 --> 0:47:23.480
<v Speaker 3>signal to the brain and the brain, hey, I optic

0:47:23.640 --> 0:47:26.560
<v Speaker 3>nerve it must be light, so you see light now.

0:47:26.840 --> 0:47:30.520
<v Speaker 3>Craig who was a psychologist in Cambridge, he wrote he

0:47:30.560 --> 0:47:32.600
<v Speaker 3>wrote this little paper where he said, well, basically, what

0:47:32.719 --> 0:47:36.440
<v Speaker 3>the brain must be doing is constructing this model of

0:47:36.640 --> 0:47:40.120
<v Speaker 3>the outside world of things that it can affect, and

0:47:40.239 --> 0:47:44.000
<v Speaker 3>it's trying to work out what the best things to do,

0:47:44.280 --> 0:47:47.719
<v Speaker 3>how can modulate this outside was so effect Therefore the

0:47:47.800 --> 0:47:51.560
<v Speaker 3>input that it receives in order to achieve whatever ends

0:47:51.840 --> 0:47:53.000
<v Speaker 3>it may be interested in me.

0:47:53.080 --> 0:47:53.759
<v Speaker 4>They're eating you know.

0:47:54.000 --> 0:47:58.200
<v Speaker 3>I'm hungry. I'm right, my body's hungry. Therefore I need

0:47:58.280 --> 0:48:00.680
<v Speaker 3>to find some food, so I've got to looking for it.

0:48:00.800 --> 0:48:04.360
<v Speaker 3>And then the model that the key idea is that

0:48:04.440 --> 0:48:07.680
<v Speaker 3>he's got this suggestion as you say that there's a model,

0:48:07.680 --> 0:48:12.000
<v Speaker 3>a representation of some kind of the outside world, and

0:48:12.600 --> 0:48:14.719
<v Speaker 3>the way you can affect it is both things. It's

0:48:14.760 --> 0:48:18.759
<v Speaker 3>not just a static photo, but it's also a set

0:48:18.800 --> 0:48:22.960
<v Speaker 3>of potential alterations, and you can you can predict, Okay,

0:48:23.040 --> 0:48:24.759
<v Speaker 3>if I go to the shop, I will be able

0:48:24.800 --> 0:48:28.040
<v Speaker 3>to get a cream bun and I will satisfy my hunger.

0:48:28.280 --> 0:48:31.440
<v Speaker 3>If I go to the bookshop, I will not be

0:48:31.480 --> 0:48:33.040
<v Speaker 3>able to buy a cream, but you know, I can

0:48:33.080 --> 0:48:35.239
<v Speaker 3>get a book. But that's not that satisfy a different

0:48:35.320 --> 0:48:36.719
<v Speaker 3>kind of hunger? Is it the same kind of hunger?

0:48:36.840 --> 0:48:37.640
<v Speaker 2>Noe and so on?

0:48:38.239 --> 0:48:43.440
<v Speaker 3>So that model, I mean, is really quite astonishingly powerful,

0:48:43.480 --> 0:48:46.920
<v Speaker 3>the idea that there's this representation at such a complex

0:48:47.040 --> 0:48:50.120
<v Speaker 3>level of the outside world and of our ways of

0:48:50.200 --> 0:48:52.080
<v Speaker 3>altering it that's been developed.

0:48:52.120 --> 0:48:54.520
<v Speaker 4>And I mean, he was working, like many people. He

0:48:54.640 --> 0:48:57.080
<v Speaker 4>was working in the war, and he was working on how.

0:48:58.600 --> 0:49:02.800
<v Speaker 3>People could cope of work in the dark on chips

0:49:02.880 --> 0:49:05.240
<v Speaker 3>and so on, and how they'd be able to predict

0:49:05.320 --> 0:49:07.200
<v Speaker 3>a movement of enemy Aircraft's all.

0:49:07.239 --> 0:49:09.800
<v Speaker 4>This was kind of classic thing that scientists were involved

0:49:09.800 --> 0:49:09.920
<v Speaker 4>in it.

0:49:09.960 --> 0:49:12.239
<v Speaker 3>And in his meantime he was thinking about, well, what

0:49:12.600 --> 0:49:15.160
<v Speaker 3>does it all mean in terms of how the brain

0:49:15.280 --> 0:49:18.839
<v Speaker 3>might function. So this little paper, and there's another one

0:49:18.880 --> 0:49:21.640
<v Speaker 3>as well that he wrote, is astonishing the influential.

0:49:21.800 --> 0:49:23.319
<v Speaker 1>You say in the book that it's going to take

0:49:23.400 --> 0:49:26.040
<v Speaker 1>us a long time to even understand very basic things.

0:49:26.160 --> 0:49:29.640
<v Speaker 1>For example, there are a lot of connectome projects which

0:49:29.760 --> 0:49:32.799
<v Speaker 1>look at, hey, where are all the cells and the connections.

0:49:32.840 --> 0:49:35.759
<v Speaker 1>And let's say a maggot brain, a very tiny little brain.

0:49:35.960 --> 0:49:38.480
<v Speaker 1>You know, what if we understood every single bit of

0:49:38.560 --> 0:49:41.360
<v Speaker 1>the wiring diagram here and yet, as we know, that

0:49:41.680 --> 0:49:45.000
<v Speaker 1>hasn't really unpacked the answer for us.

0:49:45.120 --> 0:49:47.240
<v Speaker 2>And so what do you see coming.

0:49:47.080 --> 0:49:47.760
<v Speaker 1>Down the line?

0:49:48.400 --> 0:49:52.719
<v Speaker 2>How, given this whole enormous, beautiful history that you've written

0:49:52.800 --> 0:49:55.320
<v Speaker 2>of the field of neuroscience, what do you see in

0:49:55.400 --> 0:49:56.000
<v Speaker 2>the future.

0:49:56.280 --> 0:50:00.080
<v Speaker 3>But what we're lacking is is ideas, ways of and

0:50:00.120 --> 0:50:01.680
<v Speaker 3>maybe this is where the llms are going to do

0:50:01.719 --> 0:50:03.920
<v Speaker 3>it without even telling us what the damn ideas are.

0:50:04.200 --> 0:50:06.880
<v Speaker 3>You know, we'll be able to put all the data in,

0:50:07.320 --> 0:50:11.760
<v Speaker 3>put all the connectomic data. I'm sure if eve Marda

0:50:11.920 --> 0:50:14.880
<v Speaker 3>is not doing this, she really should check it in

0:50:15.400 --> 0:50:17.520
<v Speaker 3>see what the AIS makes of it all. I think

0:50:17.560 --> 0:50:21.320
<v Speaker 3>we need more ideas about very concrete things, not about

0:50:21.440 --> 0:50:24.759
<v Speaker 3>how conscious, what consciousness is, or how it emerges. I

0:50:24.840 --> 0:50:27.080
<v Speaker 3>think we need more data on that so we can

0:50:27.080 --> 0:50:29.560
<v Speaker 3>actually agree what we're studying. I guess the other thing

0:50:29.640 --> 0:50:34.279
<v Speaker 3>that maybe you know, it's a negative thing to come

0:50:34.360 --> 0:50:36.200
<v Speaker 3>back to Crick. You know, what he was focused on

0:50:36.440 --> 0:50:39.719
<v Speaker 3>with Christophe Copp for the last twenty years was finding

0:50:39.760 --> 0:50:44.280
<v Speaker 3>the neural correlates of consciousness or of retention of visual awareness.

0:50:45.400 --> 0:50:49.680
<v Speaker 3>And we've done that in that we can actually record

0:50:49.800 --> 0:50:54.720
<v Speaker 3>from you know, people's brains, patients who are very kindly

0:50:54.800 --> 0:50:58.359
<v Speaker 3>given up there allowing people to poke around in their

0:50:58.400 --> 0:51:02.319
<v Speaker 3>brain while they're having an operation, and you can identify

0:51:02.440 --> 0:51:04.680
<v Speaker 3>people have now even been able to reconstruct things that

0:51:04.800 --> 0:51:08.280
<v Speaker 3>they have they have seen using the activity that's recorded.

0:51:09.239 --> 0:51:13.280
<v Speaker 3>So it actually got some of the things that Crick wanted.

0:51:13.680 --> 0:51:17.360
<v Speaker 3>And yet it's still not it's not it. There's something

0:51:17.560 --> 0:51:21.560
<v Speaker 3>still lacking. And maybe I mean the argument of the

0:51:21.600 --> 0:51:23.640
<v Speaker 3>book would be it's going to be the next step

0:51:23.680 --> 0:51:26.359
<v Speaker 3>in technology, and your argument that just being well, yeah,

0:51:26.400 --> 0:51:29.520
<v Speaker 3>we've got that here, Well.

0:51:29.480 --> 0:51:31.239
<v Speaker 4>Let's see maybe that's it, or maybe it's going to

0:51:31.280 --> 0:51:32.279
<v Speaker 4>be something further on.

0:51:32.800 --> 0:51:35.759
<v Speaker 2>Oh, surely it'll be something further on. And by the way.

0:51:35.840 --> 0:51:38.960
<v Speaker 1>One of your arguments is that are metaphors. While they

0:51:39.040 --> 0:51:43.360
<v Speaker 1>can be helpful, they also always constrain absolutely absolutely.

0:51:42.960 --> 0:51:45.600
<v Speaker 3>Can't you know, they're they're I had this cute phrase,

0:51:45.680 --> 0:51:48.320
<v Speaker 3>they're they're they're their frame, their frame. But a frame

0:51:48.480 --> 0:51:51.120
<v Speaker 3>is not just you know, helping you put things on.

0:51:51.280 --> 0:51:53.919
<v Speaker 3>It also limits you can't see outside of the frame.

0:51:54.000 --> 0:51:57.120
<v Speaker 3>And that's that's why things look obvious in the past,

0:51:57.160 --> 0:51:59.320
<v Speaker 3>because we can see the things that they can't. And

0:51:59.480 --> 0:52:01.960
<v Speaker 3>that's why people sometimes think people in the past were stupid.

0:52:01.960 --> 0:52:03.800
<v Speaker 3>But they're not very clever. They're just limited and so

0:52:04.120 --> 0:52:07.359
<v Speaker 3>to we. And this is when scientists, I mean, you've

0:52:07.400 --> 0:52:09.160
<v Speaker 3>been very kind, you've read the book, you've thought about

0:52:09.200 --> 0:52:11.040
<v Speaker 3>a lot. But when you just chat to people and

0:52:11.080 --> 0:52:13.719
<v Speaker 3>they had the unwritten God, that's amazing. And then they said, well,

0:52:13.760 --> 0:52:16.319
<v Speaker 3>what's the next big thing going to be into which

0:52:16.360 --> 0:52:18.040
<v Speaker 3>I say, well, you know, if I knew that, I

0:52:18.080 --> 0:52:18.719
<v Speaker 3>wouldn't tell you.

0:52:18.800 --> 0:52:22.120
<v Speaker 4>I'd be very rich living on my island somewhere. I

0:52:22.200 --> 0:52:22.880
<v Speaker 4>had no idea.

0:52:23.120 --> 0:52:26.759
<v Speaker 3>But it's going to come and it But I mean,

0:52:26.840 --> 0:52:29.440
<v Speaker 3>maybe you're right, I mean I'm maybe I'm not sufficiently

0:52:29.520 --> 0:52:32.640
<v Speaker 3>tuned into the world in particular of kind of human

0:52:32.719 --> 0:52:36.799
<v Speaker 3>euroscience and human brain studies to see that the excitement

0:52:36.880 --> 0:52:41.400
<v Speaker 3>of the parallels with the with the llms maybe changing

0:52:41.520 --> 0:52:45.400
<v Speaker 3>how people are thinking things. But certainly up until twenty twenty,

0:52:45.480 --> 0:52:47.719
<v Speaker 3>which is when the book was finished twenty nineteen, there

0:52:47.800 --> 0:52:51.160
<v Speaker 3>was very much in the tens or whatever we call it,

0:52:51.200 --> 0:52:53.360
<v Speaker 3>the teens, there's very much a sense of stagnation. I

0:52:53.400 --> 0:52:55.840
<v Speaker 3>mean vast amounts of data which were people are drowning in.

0:52:56.560 --> 0:52:59.239
<v Speaker 3>But also and then, what what are we going to

0:52:59.280 --> 0:53:02.960
<v Speaker 3>do now this kind of uncertainty? Maybe that's being resolved.

0:53:03.239 --> 0:53:06.400
<v Speaker 1>Well, I think in your language it would just be

0:53:06.719 --> 0:53:09.880
<v Speaker 1>another frame given to us by the technology things that

0:53:10.040 --> 0:53:10.960
<v Speaker 1>we can't say beyond that.

0:53:11.680 --> 0:53:14.160
<v Speaker 4>But do you think that's happening? Is that a shift

0:53:14.280 --> 0:53:15.840
<v Speaker 4>in the human.

0:53:17.080 --> 0:53:19.120
<v Speaker 2>Community for two reasons though.

0:53:19.280 --> 0:53:21.879
<v Speaker 1>One is looking at llms and saying, wow, that's quite

0:53:21.880 --> 0:53:25.400
<v Speaker 1>extraordinary what they can produce. The other thing is just

0:53:25.520 --> 0:53:27.800
<v Speaker 1>being able to use these as a tool to apply

0:53:28.040 --> 0:53:31.040
<v Speaker 1>them to the massive data sets that we have shored

0:53:31.120 --> 0:53:34.080
<v Speaker 1>up already and be able to say, oh, here are

0:53:34.120 --> 0:53:37.200
<v Speaker 1>patterns of the data that we would never have seen ourselves.

0:53:41.719 --> 0:53:45.640
<v Speaker 1>That was my interview with Matthew Cobb, neuroscientist and author

0:53:45.800 --> 0:53:49.920
<v Speaker 1>of the idea of the brain. So the central lesson

0:53:50.040 --> 0:53:53.120
<v Speaker 1>that surfaces in his book is that we draw our

0:53:53.239 --> 0:53:58.279
<v Speaker 1>metaphors from the technology that exists around us at the time,

0:53:59.000 --> 0:54:02.719
<v Speaker 1>and as we invent new technologies that gives us new

0:54:02.840 --> 0:54:06.840
<v Speaker 1>insight into how the brain might be functioning. But also

0:54:07.640 --> 0:54:12.799
<v Speaker 1>metaphors can limit They are frames that can block out

0:54:12.960 --> 0:54:16.440
<v Speaker 1>what we're able to see. This shows us something about

0:54:16.680 --> 0:54:19.960
<v Speaker 1>how science works. Despite everything that we learn in school,

0:54:20.120 --> 0:54:24.120
<v Speaker 1>science is not just the accumulation of facts, but instead

0:54:24.680 --> 0:54:29.520
<v Speaker 1>a grasping with our language towards something trying to get

0:54:29.680 --> 0:54:33.760
<v Speaker 1>more effective metaphors. When we look back at the history

0:54:33.800 --> 0:54:37.200
<v Speaker 1>of brain science, it's easy to fall into the trap

0:54:37.320 --> 0:54:40.880
<v Speaker 1>of feeling like the present is the pinnacle that we

0:54:41.000 --> 0:54:44.160
<v Speaker 1>finally arrived at the right way of thinking about this.

0:54:45.000 --> 0:54:49.360
<v Speaker 1>We smile at the hydraulic brain of the sixteen hundreds,

0:54:49.480 --> 0:54:53.719
<v Speaker 1>the clockwork brain of the Enlightenment, the telegraph brain of

0:54:53.760 --> 0:54:58.280
<v Speaker 1>the eighteen hundreds, the telephone exchange of the late nineteenth century.

0:54:58.719 --> 0:55:03.520
<v Speaker 1>They seem like charming relics from a simpler time, but

0:55:03.719 --> 0:55:08.200
<v Speaker 1>each of those metaphors were stepping stones for our thinking.

0:55:08.920 --> 0:55:12.320
<v Speaker 1>They framed the kind of experiments that people built. The

0:55:12.760 --> 0:55:15.920
<v Speaker 1>data that they noticed, the questions that they thought it

0:55:16.000 --> 0:55:20.520
<v Speaker 1>was even possible to ask. Every metaphor illuminated one part

0:55:20.600 --> 0:55:24.520
<v Speaker 1>of the landscape, even while it left the rest in shadow,

0:55:25.280 --> 0:55:29.279
<v Speaker 1>and that shadow is still with us. For my whole career,

0:55:29.360 --> 0:55:33.160
<v Speaker 1>the metaphor of choice was the digital computer, the brain

0:55:33.440 --> 0:55:37.880
<v Speaker 1>as hardware and software as an information processing device with

0:55:37.960 --> 0:55:41.359
<v Speaker 1>inputs and outputs and circuits, and that idea has given

0:55:41.440 --> 0:55:46.160
<v Speaker 1>us extraordinary advances like artificial neural networks and brain machine

0:55:46.200 --> 0:55:52.520
<v Speaker 1>interfaces and entire fields of computational neuroscience. But it also

0:55:53.160 --> 0:55:56.080
<v Speaker 1>narrows our vision. And in my book live Wired, I

0:55:56.120 --> 0:55:59.640
<v Speaker 1>wrote that everything we think about in Silicon Valley is

0:56:00.280 --> 0:56:03.279
<v Speaker 1>trim and efficient hardware with a layer of software on top.

0:56:03.560 --> 0:56:06.520
<v Speaker 1>But the brain is clearly so much more than that.

0:56:07.200 --> 0:56:10.759
<v Speaker 1>That's why I use the term livewear to make this

0:56:10.960 --> 0:56:16.120
<v Speaker 1>distinction clear. It's a system that is constantly reconfiguring its

0:56:16.160 --> 0:56:20.800
<v Speaker 1>own circuitry based on experiences. In other words, what flows

0:56:21.040 --> 0:56:24.320
<v Speaker 1>through the network changes the network. Now we're all watching

0:56:24.880 --> 0:56:29.520
<v Speaker 1>artificial neural networks like the Transformer architecture, which has changed

0:56:29.560 --> 0:56:33.560
<v Speaker 1>our world, and those certainly seem to capture something a

0:56:33.640 --> 0:56:37.279
<v Speaker 1>bit better. But whatever we use and whatever we come

0:56:37.400 --> 0:56:42.319
<v Speaker 1>up with to make these distinctions. Will our descendants see

0:56:42.719 --> 0:56:49.360
<v Speaker 1>our metaphors as limiting, just another product of our technological moment.

0:56:49.960 --> 0:56:50.960
<v Speaker 2>Of course they will.

0:56:51.480 --> 0:56:55.480
<v Speaker 1>For all we know, there may never be a final metaphor,

0:56:55.640 --> 0:56:58.759
<v Speaker 1>no single model that captures it all. The brain has

0:56:58.880 --> 0:57:04.800
<v Speaker 1>its own idio syncratic, massive complexity, and strangeness, making it

0:57:05.360 --> 0:57:09.600
<v Speaker 1>not quite like a telegraph network, not quite like your laptop,

0:57:10.200 --> 0:57:13.319
<v Speaker 1>not quite the same as an LLM. We might never

0:57:13.440 --> 0:57:17.080
<v Speaker 1>have a metaphor that feels complete, because, as they say,

0:57:17.200 --> 0:57:21.080
<v Speaker 1>the map is never the same as the territory. But

0:57:21.800 --> 0:57:26.800
<v Speaker 1>the pursuit continues to compel us because every era's metaphor,

0:57:27.000 --> 0:57:32.080
<v Speaker 1>although it's flawed, still moves us forward. The hydraulic brain

0:57:32.200 --> 0:57:37.200
<v Speaker 1>led to experiments on fluid pressure. The telegraph brain inspired

0:57:37.240 --> 0:57:41.960
<v Speaker 1>the search for nerve conduction speeds. The computer brain pushed

0:57:42.040 --> 0:57:45.520
<v Speaker 1>us into the era of big data and AI. Our

0:57:45.760 --> 0:57:50.240
<v Speaker 1>past models were all part of the process. So I'm

0:57:50.280 --> 0:57:53.680
<v Speaker 1>left with two feelings, humility in the face of the

0:57:53.800 --> 0:57:58.280
<v Speaker 1>unknown and excitement about what's next. Somewhere out there in

0:57:58.400 --> 0:58:02.200
<v Speaker 1>the midst of the future, there is a technology or

0:58:02.400 --> 0:58:07.000
<v Speaker 1>an idea that's going to give us a fresh lens

0:58:07.240 --> 0:58:11.160
<v Speaker 1>one that we can't yet imagine, and with it a

0:58:11.440 --> 0:58:15.520
<v Speaker 1>new way of asking the oldest question in neuroscience, how

0:58:16.120 --> 0:58:20.160
<v Speaker 1>does matter give rise to mind? So as you go

0:58:20.240 --> 0:58:24.120
<v Speaker 1>about your day hearing and seeing and remembering and imagining,

0:58:24.560 --> 0:58:29.000
<v Speaker 1>consider this, the thing doing all that work is also

0:58:29.160 --> 0:58:34.280
<v Speaker 1>the thing asking the questions about its own functioning. Despite

0:58:34.480 --> 0:58:37.600
<v Speaker 1>all that we've learned, it is still, in many ways

0:58:38.160 --> 0:58:41.880
<v Speaker 1>an undiscovered country, and every day we take a step

0:58:42.040 --> 0:58:51.080
<v Speaker 1>deeper into that uncharted land. Go to eagleman dot com

0:58:51.200 --> 0:58:54.600
<v Speaker 1>slash podcast for more information and to find further reading.

0:58:55.200 --> 0:58:58.360
<v Speaker 1>Join the weekly discussions on my substack, and check out

0:58:58.400 --> 0:58:59.440
<v Speaker 1>and subscribe to Inner.

0:58:59.360 --> 0:59:01.520
<v Speaker 2>Cosmos on YouTube for videos.

0:59:01.200 --> 0:59:05.160
<v Speaker 1>Of each episode and to leave comments until next time.

0:59:05.440 --> 0:59:08.240
<v Speaker 1>I'm David Eagleman, and this is Inner Cosmos.