WEBVTT - Ep94 "How does the brain construct reality?"

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<v Speaker 1>What is consciousness? Do you perceive the color red the

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<v Speaker 1>same way that I do on the inside? What is

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<v Speaker 1>wrong with the standard textbook version of vision? Why do

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<v Speaker 1>you have so many feedback loops in the brain? And

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<v Speaker 1>what does any of this have to do with Ernest

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<v Speaker 1>Hemingway or Plato's cave or artificial neural networks that.

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<v Speaker 2>See dogs everywhere?

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<v Speaker 1>Welcome to inner Cosmos with me David Eagleman, I mean

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<v Speaker 1>neuroscientists and author at Stanford.

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<v Speaker 2>And in these episodes we sail.

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<v Speaker 1>Deeply into our three pound universe to understand why and

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<v Speaker 1>how our lives look the way they do. Today's episode

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<v Speaker 1>is about the sense of being alive, and in a moment,

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<v Speaker 1>I'm going to bring in my colleague annal Seth, who

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<v Speaker 1>wrote a great book called Being You, which is all

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<v Speaker 1>about this neuroscientific problem. Now, by way of setting the

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<v Speaker 1>table for this, you may say, what is the neuroscientific

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<v Speaker 1>problem of consciousness? Well, it's simply this. It feels like

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<v Speaker 1>something to be you, and that feeling flickers to life

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<v Speaker 1>when you wake up in the morning, and it's not

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<v Speaker 1>there when you're in a deep sleep or under anesthesia,

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<v Speaker 1>and we're not sure how that happens. Our brains are

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<v Speaker 1>made up of tens of billions of very sophisticated processing

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<v Speaker 1>units neurons that are all operating together in a giant network.

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<v Speaker 1>But just because something has a lot of pieces and

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<v Speaker 1>parts doesn't tell you anything about why it's conscious, why

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<v Speaker 1>there's any subjective experience. If you get the right tools

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<v Speaker 1>and take your cover off your iPhone, you'll find that

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<v Speaker 1>it has a chip which has nineteen billion transistors. Now

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<v Speaker 1>just think about the interactions and the almost speed of

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<v Speaker 1>light signaling in that rich, sweeping electronic landscape.

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<v Speaker 2>But we don't have any meaningful reason.

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<v Speaker 1>To believe that your phone has consciousness or that it

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<v Speaker 1>would be like something to be a phone. In other words,

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<v Speaker 1>when your phone plays a funny video on the screen,

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<v Speaker 1>do you think it feels amused or is it more

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<v Speaker 1>likely that it's zero's and ones moving around in a

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<v Speaker 1>deterministic way through these billions of pathways when it gets

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<v Speaker 1>an email from your boss, does it feel stressed when

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<v Speaker 1>it registers the receipt of a text message? Does your

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<v Speaker 1>phone have the capacity to feel sad? Probably not? But

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<v Speaker 1>how do we make a more rigorous assessment of the question.

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<v Speaker 1>How could we know what is conscious and what is

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<v Speaker 1>not until we have we have tighter constraints on what

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<v Speaker 1>consciousness is. This is the problem that neuroscience faces. How

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<v Speaker 1>is it that all our billions of cells hook up

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<v Speaker 1>in just such a way that we have consciousness? In

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<v Speaker 1>other words, it feels like something to be us now.

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<v Speaker 1>Not so long ago. In neuroscience, like thirty years ago,

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<v Speaker 1>this problem of subjective experience was essentially not talked about.

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<v Speaker 1>People generally felt it was too squishy, and they talked

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<v Speaker 1>about how the brain worked, but not about why we

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<v Speaker 1>have subjective experience. But things started to change around the

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<v Speaker 1>nineteen nineties when some great minds started devoting themselves to

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<v Speaker 1>taking this problem seriously. And two of those minds happened

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<v Speaker 1>to be Nobel laureates in San Diego. One was Francis

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<v Speaker 1>Crick and one was Gerald Adelman, and they worked in

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<v Speaker 1>neighboring institutions. And it happened that when I was a

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<v Speaker 1>young post doc, I got to work with Krick, and

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<v Speaker 1>just across the way was another young postdoc working with Adelman.

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<v Speaker 1>His name was Annal Seth, and we both were reared

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<v Speaker 1>in this environment where it made sense to tackle the

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<v Speaker 1>problem of subjective experience. The mission was how can we

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<v Speaker 1>work towards a scientific understanding of what consciousness is and

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<v Speaker 1>how brains give rise to it.

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<v Speaker 2>Annal Seth is now.

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<v Speaker 1>A professor of cognitive and Computational neuroscience at the University

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<v Speaker 1>of Sussex, where he also directs the Sussex Center for

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<v Speaker 1>Consciousness Science. In twenty seventeen he gave a very popular

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<v Speaker 1>Ted talk called Your Brain Hallucinates Your Conscious Reality, and

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<v Speaker 1>in twenty twenty one he published a book called Being You.

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<v Speaker 2>A New Science of Consciousness.

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<v Speaker 1>So I called him up to share his views on perception,

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<v Speaker 1>consciousness and reality.

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<v Speaker 2>Here's my interview with annal Seth. What is consciousness?

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<v Speaker 3>Well, of course we could yan you and I have

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<v Speaker 3>just this for many, many hours, and philosophers for centuries,

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<v Speaker 3>and so you've got to be pragmatic and I define consciousness.

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<v Speaker 3>So I follow this a philosopher Thomas Nagel, who I

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<v Speaker 3>think put it very beautifully and very simply, and his

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<v Speaker 3>idea was that for a conscious organism, there is something

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<v Speaker 3>it is like to be that organism. It feels like

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<v Speaker 3>something to be me, and it feels like something to

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<v Speaker 3>be you. It's a bit circular, right, There's there's experiencing happening.

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<v Speaker 3>But I think it's I think there's something useful about

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<v Speaker 3>that because it doesn't mix up consciousness with other things

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<v Speaker 3>like intelligence or language or a particular sense of identity.

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<v Speaker 3>It's just any kind of experience whatsoever. So at least

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<v Speaker 3>we know what we're talking about. You know, it's also

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<v Speaker 3>what goes away under something like general anesthesia and then

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<v Speaker 3>comes back. That for me, is a nice starting point

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<v Speaker 3>for what consciousness is. So we know roughly what we're

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<v Speaker 3>talking about, and then it's the Then the approach is, well,

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<v Speaker 3>how do we explain it in terms of neuroscience, biology, physics, whatever,

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<v Speaker 3>How does it happen? Why is it the way it is?

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<v Speaker 3>And here my approach has been again quite pragmatic. Instead

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<v Speaker 3>of trying to find some sort of magic Eureka solution

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<v Speaker 3>that magic's conscious experience out of neurons or atoms or

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<v Speaker 3>quantum fields or whatever it might be, let's just take

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<v Speaker 3>a different approach and accept that consciousness exists, because there'll

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<v Speaker 3>be some philosophers that try and tell you it doesn't

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<v Speaker 3>even really exist, and that it has certain properties. Different

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<v Speaker 3>experiences feel different ways, and emotion feels different from a

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<v Speaker 3>visual experience, So let's try to understand how and why

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<v Speaker 3>these experiences are the way they are. And every experience

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<v Speaker 3>has various things in common too, like every experience is

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<v Speaker 3>unified more than more than the sum of its many parts.

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<v Speaker 3>So my approach is to try to find ways of

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<v Speaker 3>bridging between description of the brain in some way collection

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<v Speaker 3>of neurons or areas or whatever, and descriptions of experience.

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<v Speaker 3>And this is where this idea of controlled hallucination comes in.

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<v Speaker 3>And I'm sure we'll dig more into it, but very

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<v Speaker 3>very simply, the idea is that instead of our experience

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<v Speaker 3>of the world and the body sort of pouring itself

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<v Speaker 3>into the brain through the transparent windows of the senses,

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<v Speaker 3>in fact perception works the other way around. It's not

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<v Speaker 3>a new idea, it's it's very old that perception is

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<v Speaker 3>a process of inference. The brain is locked inside this

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<v Speaker 3>bony vault of a skull. It's dark and silent in there,

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<v Speaker 3>and so it has to make sense of sensory signals

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<v Speaker 3>which don't have colors or shapes or labels, and they're

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<v Speaker 3>uncertain that they're ambiguous and noisy with respect to whatever's

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<v Speaker 3>going on in the world and the body. So the

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<v Speaker 3>brain's always casting out predictions about the causes of its

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<v Speaker 3>sensory signals, and using sensory signals to calibrate to update

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<v Speaker 3>these predictions. And the claim here is that that that's

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<v Speaker 3>what we experience. The brain doesn't read out the world

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<v Speaker 3>from the outside in. It's always actively constructing the world

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<v Speaker 3>from the top down or the inside out. This is

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<v Speaker 3>why I think the term controlled hallucination is useful, because

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<v Speaker 3>we tend to think of hallucinations as things that are

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<v Speaker 3>internally generated, and I think that that's true for all

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<v Speaker 3>our experiences. It's just that our normal perceptual experiences are

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<v Speaker 3>controlled by calibrated, by yoked to, geared to the world

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<v Speaker 3>and the body in ways that are useful. So perception

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<v Speaker 3>is a controlled hallucination, and consciousness is a collection of perceptions.

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<v Speaker 1>So let's double click on a couple things there. So

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<v Speaker 1>first let's go back to the history. Let's say Kan't

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<v Speaker 1>and Helmholtz and think about what were the first clues

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<v Speaker 1>that people got in thinking about this idea that we're

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<v Speaker 1>not seeing reality as it is out there, but instead

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<v Speaker 1>it's something of a construction.

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<v Speaker 4>I think you're right.

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<v Speaker 3>The history of this is super fascinating and it's I

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<v Speaker 3>think not given enough credits sometimes and you can go

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<v Speaker 3>right back to Plato, I think in his allegory of

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<v Speaker 3>the cave, where you have all these prisoners in a cave.

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<v Speaker 3>They're chained to the walls, and all they can see

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<v Speaker 3>are shadows cast on the wall of the cave by

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<v Speaker 3>the light of a fire, and they take the shadows

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<v Speaker 3>to be real because that's all they have access to,

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<v Speaker 3>and they don't really know that there's anything out there,

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<v Speaker 3>you know, that is actually responsible for the shadows. So

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<v Speaker 3>I think that's a great starting point because our brain

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<v Speaker 3>is in a bit of a similar situation to the

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<v Speaker 3>prisoners in the cave. You know, they don't The brain

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<v Speaker 3>doesn't have any direct access to anything really, the body,

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<v Speaker 3>the world, whatever, so it has to make its best

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<v Speaker 3>guess of what's going on on the basis of things

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<v Speaker 3>like shadows, and then can't I think for me is

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<v Speaker 3>always the reference point. I always keep coming back to

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<v Speaker 3>his idea of the newmnen. So there is a reality.

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<v Speaker 3>I'm often sometimes misunderstood as denying that there's a real

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<v Speaker 3>world because I've used this word hallucination.

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<v Speaker 4>But no, not at all. Now there is a real world.

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<v Speaker 3>I think there is objective reality at least to answer

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<v Speaker 3>that question, you'd better ask a physicist rather than me.

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<v Speaker 3>But the world that we experience is never identical to

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<v Speaker 3>that world. It's always an interpretation. In Kant's way of thinking,

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<v Speaker 3>the newmenon reality as it really is is always hidden

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<v Speaker 3>behind a sensory veil or a kind of inferential curtain,

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<v Speaker 3>as I might describe it now. And then, Yeah, there

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<v Speaker 3>were many hints I think initially in vision. I think

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<v Speaker 3>most of the early workin this was done by vision.

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<v Speaker 3>There's Ibanel Heitm, the Arabian scientist and polymath, did a

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<v Speaker 3>lot of work hundreds of years ago basically arguing that

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<v Speaker 3>perception cannot be this direct readoubt of the world because

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<v Speaker 3>the relation is so in direct and you know, things

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<v Speaker 3>seen to obey regularities that can't be explained purely in

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<v Speaker 3>terms of the sensory data. Like when you take a

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<v Speaker 3>piece of white paper from insider room to outside room,

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<v Speaker 3>it still seems white.

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<v Speaker 4>You know, how does that happen?

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<v Speaker 3>It's because the brain isn't just reading off the light

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<v Speaker 3>that comes into the eyes. It's trying to figure out

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<v Speaker 3>what's causing the light.

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<v Speaker 2>Just to double click on that.

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<v Speaker 1>So if you're under let's say fluorescent lights, and then

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<v Speaker 1>you walk under the sunlight. What's actually bouncing off the

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<v Speaker 1>paper and hitting your eyes. There's a different wavelength, and

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<v Speaker 1>yet we see it as white, and well, this is

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<v Speaker 1>color constancy.

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<v Speaker 3>The brain is always after utility. You know, we perceive

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<v Speaker 3>the world in a way that evolution has decided is

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<v Speaker 3>useful for us. The novelist deny as Nin put it

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<v Speaker 3>beautifully when she said, you know, we do not see

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<v Speaker 3>things as they are. We see them as we are.

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<v Speaker 3>That's what the brain is gunning for.

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<v Speaker 4>That.

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<v Speaker 3>And then there's this trade off between the brains prior

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<v Speaker 3>expectations or beliefs about what's going on, and how much

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<v Speaker 3>the brain decides to update its beliefs, expectations, predictions with

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<v Speaker 3>new sensory data. Sometimes it can update quite quickly, pay

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<v Speaker 3>a lot of attention to this data. Sometimes it can

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<v Speaker 3>pay less attention. In fact, attention is exactly that process

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<v Speaker 3>in my mind anyway. Attention is exactly the process of

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<v Speaker 3>balancing how much incoming sensory information is able to update

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<v Speaker 3>the brain's best guess controlled hallucination of what's actually happening.

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<v Speaker 1>Right, So people like Can't and Helmholtz and others all

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<v Speaker 1>the way back to platos who point out have thought about, hey,

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<v Speaker 1>maybe we're not seeing reality as it is, but we're

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<v Speaker 1>seeing something.

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<v Speaker 2>That we are having.

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<v Speaker 1>To construction the inside because the brain is isolated. So

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<v Speaker 1>then by the nineteen sixties, the neuroscientist Donald McKay noticed something.

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<v Speaker 1>I don't know if other people had noticed this before,

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<v Speaker 1>but he noticed that the the you know, the amount

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<v Speaker 1>of input to the visual cortex in the back of

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<v Speaker 1>the brain that's coming from the eyes is actually really small.

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<v Speaker 1>I think the estimates now or that it's five percent

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<v Speaker 1>of the input to the visual cortex comes from the

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<v Speaker 1>eyeballs and all the rest is this sort of feedback.

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<v Speaker 1>So let's come back to this issue how you think

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<v Speaker 1>about this with predictions and what the brain is doing.

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<v Speaker 3>That's a great place to start, because that's such a paradox,

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<v Speaker 3>isn't it. I Mean when I was starting out, and

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<v Speaker 3>I think you and I started in neuroscience around the

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<v Speaker 3>same time, and the textbooks I remember reading just describe

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<v Speaker 3>perception as this bottom up, inside out process. You know,

0:13:41.800 --> 0:13:45.199
<v Speaker 3>signals would come into the retina early parts of the

0:13:45.320 --> 0:13:48.080
<v Speaker 3>visual cortex right at the back of the brain would

0:13:48.160 --> 0:13:51.680
<v Speaker 3>fish out really simple features like lines and edges, and

0:13:51.720 --> 0:13:55.920
<v Speaker 3>then you got this picture of information marching deeper and

0:13:55.960 --> 0:13:59.080
<v Speaker 3>deeper into the brain, sort of more complex things being

0:13:59.120 --> 0:14:02.000
<v Speaker 3>fished out. And then somehow the brain put all these

0:14:02.040 --> 0:14:06.480
<v Speaker 3>pieces back together, and that led to this experience.

0:14:05.960 --> 0:14:07.880
<v Speaker 4>Of the world.

0:14:07.920 --> 0:14:10.959
<v Speaker 3>Probably if you open a textbook now, you will probably

0:14:11.040 --> 0:14:13.720
<v Speaker 3>see something quite similar. I think this has been a very,

0:14:13.800 --> 0:14:18.559
<v Speaker 3>very pervasive idea despite this long and rich history from

0:14:18.720 --> 0:14:21.720
<v Speaker 3>Plato to Cant to Helmholt and so on.

0:14:21.880 --> 0:14:25.240
<v Speaker 1>In sixty something years since Mackay published his paper.

0:14:25.320 --> 0:14:29.440
<v Speaker 3>Is sixty years since Mackay's observation, which is hard to

0:14:29.560 --> 0:14:33.200
<v Speaker 3>understand in this classical view, Right, if perception is done

0:14:33.240 --> 0:14:36.680
<v Speaker 3>in this bottom up direction, why do you have so

0:14:36.920 --> 0:14:40.560
<v Speaker 3>many connections mark going the other way from the brain

0:14:40.640 --> 0:14:41.720
<v Speaker 3>back out to the census.

0:14:41.760 --> 0:14:42.800
<v Speaker 4>It doesn't make any sense.

0:14:43.480 --> 0:14:46.720
<v Speaker 3>But from the perspective of perception as this constructive process,

0:14:46.760 --> 0:14:50.520
<v Speaker 3>it makes much more sense. So digging into it a

0:14:50.560 --> 0:14:53.960
<v Speaker 3>bit more so far, you know, we've kind of outlined

0:14:54.000 --> 0:14:58.360
<v Speaker 3>that the brain has to make this inference about what's

0:14:58.400 --> 0:15:01.680
<v Speaker 3>out there on the basis of noisy and ambiguous sensory

0:15:01.720 --> 0:15:06.920
<v Speaker 3>signals without labels. Now, in mathematics we call this Bayesian inference.

0:15:07.280 --> 0:15:11.400
<v Speaker 3>It's a process of reasoning under conditions of uncertainty, or

0:15:11.960 --> 0:15:15.920
<v Speaker 3>in general, how you should update what you believe when

0:15:15.960 --> 0:15:18.200
<v Speaker 3>you get new data. And this is a very very

0:15:18.400 --> 0:15:23.080
<v Speaker 3>general formulation. The Reverend Thomas Bays and Laplace figured out

0:15:23.080 --> 0:15:26.120
<v Speaker 3>the maths hundreds of years ago, and it's been used

0:15:26.120 --> 0:15:28.120
<v Speaker 3>to do all kinds of things like figure out where

0:15:28.160 --> 0:15:31.760
<v Speaker 3>to look for missing nuclear submarines, or even figure out

0:15:31.840 --> 0:15:33.840
<v Speaker 3>how likely you are to have a disease if you've

0:15:33.880 --> 0:15:37.040
<v Speaker 3>got particular symptoms. It's always when things are uncertain that

0:15:37.080 --> 0:15:41.440
<v Speaker 3>this mathematics is useful. It's the same deal with perception.

0:15:41.560 --> 0:15:44.440
<v Speaker 3>The brain is trying to figure out what it should

0:15:44.520 --> 0:15:48.720
<v Speaker 3>believe now about what's out there, given some new information

0:15:48.800 --> 0:15:53.040
<v Speaker 3>from the census. Now, the problem is that actually doing

0:15:53.200 --> 0:15:57.040
<v Speaker 3>Bayesian inference is really really hard. In fact, it's almost

0:15:57.040 --> 0:16:00.840
<v Speaker 3>impossible to do it exactly. So the brain, any good

0:16:01.440 --> 0:16:06.040
<v Speaker 3>biological evolutionary hack has figured out an approximation, a very

0:16:06.160 --> 0:16:12.720
<v Speaker 3>general approximation. And this approximation is in the business we

0:16:12.840 --> 0:16:16.760
<v Speaker 3>call it predictive coding or predictive processing. And what this

0:16:16.880 --> 0:16:21.480
<v Speaker 3>means is that the brain effectively has some kind of

0:16:21.680 --> 0:16:25.280
<v Speaker 3>model of the world and the body, and it uses

0:16:25.320 --> 0:16:31.320
<v Speaker 3>that model to generate predictions about the sensory information that

0:16:31.400 --> 0:16:34.920
<v Speaker 3>should be coming in. And these predictions they cascade in

0:16:34.960 --> 0:16:39.280
<v Speaker 3>this top down direction and back out to the sensory

0:16:39.280 --> 0:16:43.560
<v Speaker 3>surfaces through all these connections that Mackay identified, and then

0:16:44.320 --> 0:16:48.600
<v Speaker 3>the sensory signals instead of being read out by the brain,

0:16:48.760 --> 0:16:52.680
<v Speaker 3>they just serve as prediction errors. They report the difference

0:16:52.720 --> 0:16:55.760
<v Speaker 3>between what the brain expects and what it gets you

0:16:56.000 --> 0:16:59.280
<v Speaker 3>at every level from the retina to the early parts

0:16:59.320 --> 0:17:02.040
<v Speaker 3>of the visual cortex all the way up. And if

0:17:02.080 --> 0:17:06.040
<v Speaker 3>the brain then follows a very very simple rule, which

0:17:06.119 --> 0:17:10.080
<v Speaker 3>is just either make an action or update its prediction

0:17:10.240 --> 0:17:13.480
<v Speaker 3>to try and minimize these prediction errors. So it's just

0:17:13.600 --> 0:17:17.600
<v Speaker 3>trying to minimize and trying to reduce these prediction era

0:17:17.760 --> 0:17:24.240
<v Speaker 3>sensory signals, then collectively its predictions will be a very

0:17:24.440 --> 0:17:29.320
<v Speaker 3>very very good approximation to Baysing inference. So we get

0:17:29.359 --> 0:17:33.840
<v Speaker 3>a picture in which the brain is constantly casting out

0:17:33.920 --> 0:17:38.360
<v Speaker 3>predictions into the world, the sensory signals update these predictions,

0:17:39.000 --> 0:17:42.320
<v Speaker 3>and there's always this simple mechanism which the brain is

0:17:42.640 --> 0:17:46.640
<v Speaker 3>just trying to minimize prediction error. And as a result,

0:17:47.119 --> 0:17:49.879
<v Speaker 3>what happens is the brain is able to make a

0:17:49.960 --> 0:17:53.320
<v Speaker 3>best guess about what's out there in the world or

0:17:53.359 --> 0:17:56.119
<v Speaker 3>in the body, and then the claim is, well, that

0:17:56.119 --> 0:17:57.240
<v Speaker 3>that's what we perceive.

0:18:13.480 --> 0:18:14.840
<v Speaker 2>So let me just summarize.

0:18:14.920 --> 0:18:18.160
<v Speaker 1>So the idea is the brain can't know exactly what's

0:18:18.160 --> 0:18:21.280
<v Speaker 1>out there, so it's making its best guesses and then saying, oh, wow,

0:18:21.320 --> 0:18:23.520
<v Speaker 1>that guess was really off, that guess was a little closer,

0:18:23.560 --> 0:18:26.680
<v Speaker 1>and so on, and as it matches the incoming data,

0:18:27.040 --> 0:18:31.840
<v Speaker 1>it gets to refine its model that way until it

0:18:31.880 --> 0:18:34.439
<v Speaker 1>has a reasonably good model. And so one of the

0:18:34.480 --> 0:18:36.840
<v Speaker 1>ideas that's been floating around in neuroscience for a while,

0:18:36.920 --> 0:18:38.480
<v Speaker 1>but again I don't think this makes it to the

0:18:38.520 --> 0:18:41.359
<v Speaker 1>textbooks is this idea that all of the data that

0:18:41.400 --> 0:18:44.800
<v Speaker 1>we see in the century courtices is actually the error.

0:18:44.880 --> 0:18:47.440
<v Speaker 1>It's the part that you didn't get right. And if

0:18:47.440 --> 0:18:50.720
<v Speaker 1>you were actually getting everything one hundred percent right, you'd have,

0:18:50.840 --> 0:18:53.240
<v Speaker 1>you know, golden silence going on in there. But the

0:18:53.280 --> 0:18:56.000
<v Speaker 1>world is complicated and things are always happening, not in

0:18:56.000 --> 0:18:58.440
<v Speaker 1>the way you can predict away. But this is the

0:18:58.480 --> 0:19:02.440
<v Speaker 1>frame shift that's real required to see this sort of thing.

0:19:03.000 --> 0:19:07.400
<v Speaker 1>So coming back to why you call this a controlled hallucination,

0:19:10.160 --> 0:19:12.880
<v Speaker 1>let's do it this way. Which is we don't need

0:19:12.920 --> 0:19:15.400
<v Speaker 1>our eyes at all to have rich visual experience, right.

0:19:15.560 --> 0:19:18.400
<v Speaker 1>You have dreams inn when your eyes are closed, right,

0:19:18.880 --> 0:19:24.680
<v Speaker 1>And so the idea is that maybe you are dreaming,

0:19:24.720 --> 0:19:27.040
<v Speaker 1>you're producing all the stuff on the inside, but use

0:19:27.080 --> 0:19:30.640
<v Speaker 1>the word controlled to indicate, Look, you're anchored to what's going.

0:19:30.440 --> 0:19:31.040
<v Speaker 2>On in the outside.

0:19:31.080 --> 0:19:33.600
<v Speaker 1>You've got this, you know, let's say five percent of

0:19:33.720 --> 0:19:36.879
<v Speaker 1>data coming in from the central world, and that anchors

0:19:36.920 --> 0:19:40.520
<v Speaker 1>you somewhat. And that's what you mean, my controlled hallucination

0:19:40.720 --> 0:19:42.880
<v Speaker 1>control dreaming in a sense.

0:19:43.200 --> 0:19:47.439
<v Speaker 3>That's exactly right. In fact, if you describe perception as

0:19:47.440 --> 0:19:50.600
<v Speaker 3>a kind of controlled hallucination, then you can just flip

0:19:50.600 --> 0:19:53.360
<v Speaker 3>it around and you can say when you're hallucinating as

0:19:53.359 --> 0:19:55.600
<v Speaker 3>we would normally use it. You know, when someone sees

0:19:55.640 --> 0:19:58.680
<v Speaker 3>something that's not there, indeed, when they're dreaming, well you

0:19:58.720 --> 0:20:02.080
<v Speaker 3>can just call that uncontrolled perception. And I think the

0:20:02.160 --> 0:20:05.480
<v Speaker 3>point here is that there's a continuity. They're not completely

0:20:05.520 --> 0:20:08.520
<v Speaker 3>different categories. So, you know, we used to thinking of

0:20:08.600 --> 0:20:12.359
<v Speaker 3>dreams and hallucinations as coming more from the inside than

0:20:12.400 --> 0:20:16.080
<v Speaker 3>the outside. And it's true that in normal perception the

0:20:16.119 --> 0:20:21.080
<v Speaker 3>outside world plays a bigger role. But fundamentally, I think

0:20:21.520 --> 0:20:25.159
<v Speaker 3>it's the same kind of process. It's the same dance,

0:20:25.320 --> 0:20:29.320
<v Speaker 3>this exchange of prediction and prediction error, but you change

0:20:29.440 --> 0:20:32.160
<v Speaker 3>exactly how this dance plays out, and you can sort

0:20:32.160 --> 0:20:35.200
<v Speaker 3>of sweep through all these different ways of experiencing, whether

0:20:35.240 --> 0:20:39.600
<v Speaker 3>it's normal perception or dreaming or hallucination or something else.

0:20:40.119 --> 0:20:45.440
<v Speaker 1>Now use the terms controlled and uncontrolled, but in fact

0:20:45.480 --> 0:20:48.679
<v Speaker 1>it's more of a spectrum. I'd imagine right where a

0:20:48.760 --> 0:20:52.359
<v Speaker 1>controlled hallucination is I'm looking for something on my desk,

0:20:52.600 --> 0:20:55.359
<v Speaker 1>I have to really pay attention, and so in that sense,

0:20:55.359 --> 0:20:58.040
<v Speaker 1>it's really controlled by what's in the outside world. Here

0:20:58.040 --> 0:21:01.960
<v Speaker 1>it's more controlled, whereas other times it's less and less

0:21:02.000 --> 0:21:06.679
<v Speaker 1>controlled when I'm you know, imagining something or just seeing whatever.

0:21:06.720 --> 0:21:10.399
<v Speaker 1>And you can imagine in cases like Charles Bonet syndrome,

0:21:10.400 --> 0:21:13.760
<v Speaker 1>as people are going blind, they have formed visual hallucinations.

0:21:13.800 --> 0:21:16.840
<v Speaker 1>They think they see somebody walking in or doing a

0:21:16.840 --> 0:21:19.040
<v Speaker 1>bunch of dancers in the street or something, even though

0:21:19.040 --> 0:21:22.120
<v Speaker 1>that's not there. So it's sort of like a spectrum

0:21:22.600 --> 0:21:26.560
<v Speaker 1>of how much control the outside world has.

0:21:26.359 --> 0:21:29.800
<v Speaker 3>That's exactly right, And in fact, one of the powers

0:21:29.840 --> 0:21:32.000
<v Speaker 3>of this approach is that you can use it to

0:21:32.119 --> 0:21:35.720
<v Speaker 3>better understand what's going on in conditions like Charles Bonne,

0:21:36.000 --> 0:21:39.000
<v Speaker 3>where people have hallucinations. One of the things we did

0:21:39.080 --> 0:21:43.240
<v Speaker 3>in my research group last year was we built computational

0:21:43.320 --> 0:21:47.600
<v Speaker 3>models of this process of prediction and prediction error and

0:21:47.640 --> 0:21:50.359
<v Speaker 3>so on, and we tweak the model in different ways

0:21:50.440 --> 0:21:55.320
<v Speaker 3>to try and simulate different kinds of hallucination. So Charles

0:21:55.320 --> 0:22:00.240
<v Speaker 3>bona syndrome where indeed people often see patterns, but also

0:22:00.480 --> 0:22:05.800
<v Speaker 3>people wandering around. Then there's in Parkinson's disease, people often

0:22:05.840 --> 0:22:10.960
<v Speaker 3>have quite rich and complex hallucinations. And then in psychedelics

0:22:11.000 --> 0:22:14.400
<v Speaker 3>you get all kinds of different hallucinations too that seem

0:22:14.640 --> 0:22:17.959
<v Speaker 3>sometimes seem to emerge out of things that are already

0:22:17.960 --> 0:22:21.040
<v Speaker 3>there in the environment. That clouds can become animals or people,

0:22:21.119 --> 0:22:23.639
<v Speaker 3>things like that. So we've been able to use this

0:22:23.720 --> 0:22:29.200
<v Speaker 3>approach to really drill down and understand not only how

0:22:29.240 --> 0:22:33.119
<v Speaker 3>these hallucinations happen, but how they and why they differ

0:22:33.160 --> 0:22:36.520
<v Speaker 3>from each other. And what we did was we actually

0:22:36.600 --> 0:22:39.679
<v Speaker 3>went to people who have these kinds of hallucinations in

0:22:39.720 --> 0:22:42.640
<v Speaker 3>real life and we asked them to judge the output

0:22:42.640 --> 0:22:45.640
<v Speaker 3>of the model so that we could test whether our

0:22:46.359 --> 0:22:49.280
<v Speaker 3>you know, our computational model of these hallucinations was right.

0:22:49.320 --> 0:22:52.960
<v Speaker 3>You know, would somebody with Parkinson's disease pick the output

0:22:53.200 --> 0:22:57.280
<v Speaker 3>that we generated when we were trying to simulate Parkinson's

0:22:57.280 --> 0:23:00.879
<v Speaker 3>hallucinations and more or less that that works well. So

0:23:00.960 --> 0:23:05.359
<v Speaker 3>we're beginning to be able to really characterize and at

0:23:05.400 --> 0:23:08.800
<v Speaker 3>the level of what the brain is doing these different

0:23:08.880 --> 0:23:10.600
<v Speaker 3>kinds of hallucinations.

0:23:10.840 --> 0:23:13.480
<v Speaker 1>You know, one of the things that I talked about

0:23:13.520 --> 0:23:16.320
<v Speaker 1>in my book Incognito was this possibility that all of

0:23:16.400 --> 0:23:20.640
<v Speaker 1>us might be having hallucinations all the time, but we

0:23:20.800 --> 0:23:23.399
<v Speaker 1>don't know it. So for example, you know, it's something

0:23:23.400 --> 0:23:26.159
<v Speaker 1>on my desk here, or you know, I think my

0:23:26.240 --> 0:23:28.520
<v Speaker 1>dog's over there when he's not, and so on, and

0:23:28.720 --> 0:23:33.639
<v Speaker 1>we only notice it when there's a clear indication that

0:23:34.600 --> 0:23:36.639
<v Speaker 1>it's not true, either because someone else tells us, or

0:23:36.720 --> 0:23:38.359
<v Speaker 1>I go look for my dog and realize that was

0:23:38.359 --> 0:23:40.160
<v Speaker 1>a bag on the floor, not my dog, or so on.

0:23:40.440 --> 0:23:44.000
<v Speaker 1>But probably this is happening all the time. I want

0:23:44.040 --> 0:23:46.359
<v Speaker 1>to drill in on what you said about how you

0:23:46.400 --> 0:23:49.560
<v Speaker 1>go out to different people with psychedelics or with Parkinson's

0:23:49.560 --> 0:23:53.639
<v Speaker 1>disease and ask them and find out the degree to

0:23:53.680 --> 0:23:56.320
<v Speaker 1>which this match is. What you're doing is taking things like,

0:23:56.600 --> 0:23:58.480
<v Speaker 1>for example, in your Ted talk a while ago.

0:23:58.720 --> 0:24:00.000
<v Speaker 2>You used Google deep.

0:24:00.080 --> 0:24:04.679
<v Speaker 1>Dream to take footage, and Google deep dream sort of

0:24:04.680 --> 0:24:07.520
<v Speaker 1>has these psychedelical aist nations where it sees dogs, faces

0:24:07.520 --> 0:24:09.440
<v Speaker 1>and everything, So tell us about that.

0:24:09.440 --> 0:24:10.280
<v Speaker 4>That's exactly right.

0:24:10.480 --> 0:24:12.560
<v Speaker 3>So this is I think it's a nice story because

0:24:13.440 --> 0:24:16.280
<v Speaker 3>we basically did their own to start with, just because

0:24:16.320 --> 0:24:18.480
<v Speaker 3>it was a lot of fun. You know, we had

0:24:18.480 --> 0:24:21.840
<v Speaker 3>this virtual reality lab. One of my post docs is

0:24:21.920 --> 0:24:24.800
<v Speaker 3>very good at coding these things up, and we just thought,

0:24:25.880 --> 0:24:29.960
<v Speaker 3>why can't we try and make a situation where you know,

0:24:30.000 --> 0:24:32.359
<v Speaker 3>at the time, people had been just taking photos of

0:24:32.400 --> 0:24:35.440
<v Speaker 3>bowls of pasta and then putting them through Google deep Dream,

0:24:35.440 --> 0:24:37.920
<v Speaker 3>and they'd all become you know, they'd grow, loads of

0:24:37.960 --> 0:24:40.400
<v Speaker 3>puppy heads would be there in the in the bowl

0:24:40.440 --> 0:24:42.600
<v Speaker 3>of pasta. And we just thought, should we just try

0:24:42.640 --> 0:24:46.520
<v Speaker 3>and do this in virtual reality just because? And so

0:24:46.640 --> 0:24:49.960
<v Speaker 3>we took a panoramic movie, so three hundred and sixty

0:24:49.960 --> 0:24:54.240
<v Speaker 3>degree movie, and we put every frame through an adaptation

0:24:54.320 --> 0:24:56.720
<v Speaker 3>of this deep dream algorithm so that you would get

0:24:56.960 --> 0:24:59.720
<v Speaker 3>framed frame continuity. So it was it was not an

0:24:59.720 --> 0:25:00.480
<v Speaker 3>easy to do.

0:25:00.880 --> 0:25:03.920
<v Speaker 1>Can I for just one second just over on sclear

0:25:04.600 --> 0:25:08.840
<v Speaker 1>The reason Google deep dreams sees puppy faces everywhere is

0:25:08.880 --> 0:25:13.000
<v Speaker 1>because that's its expectation. It's busy and prior is that

0:25:13.080 --> 0:25:15.840
<v Speaker 1>it's looking for puppy faces, and so that's why that's

0:25:15.880 --> 0:25:17.280
<v Speaker 1>why it sees it everywhere.

0:25:17.400 --> 0:25:20.480
<v Speaker 2>If you even vaguely have like two dots.

0:25:20.040 --> 0:25:21.919
<v Speaker 1>In the line or something, it says, oh, there's a

0:25:21.960 --> 0:25:22.600
<v Speaker 1>puppy face.

0:25:22.880 --> 0:25:24.320
<v Speaker 2>Okay, keep doing that.

0:25:24.320 --> 0:25:26.760
<v Speaker 3>That's exactly right. And of course it doesn't have to

0:25:26.760 --> 0:25:29.720
<v Speaker 3>be puppies. You could you could give the network another

0:25:30.520 --> 0:25:35.520
<v Speaker 3>expectation and basically fix another node or part of the network,

0:25:35.680 --> 0:25:38.480
<v Speaker 3>and then it's expecting something else. And that's actually the key.

0:25:38.520 --> 0:25:41.280
<v Speaker 3>So once we'd done this with Sussex campus, and we

0:25:41.320 --> 0:25:45.960
<v Speaker 3>did it with the dog expectations, so suddenly people would

0:25:46.000 --> 0:25:49.360
<v Speaker 3>have all these strange experiences of Sussex University campus, all

0:25:49.359 --> 0:25:51.760
<v Speaker 3>these dogs coming out of the walls and the windows

0:25:51.800 --> 0:25:54.959
<v Speaker 3>and the sky and and we tried it and it

0:25:55.000 --> 0:25:57.040
<v Speaker 3>was fun, and it just struck us when we were

0:25:57.040 --> 0:26:01.560
<v Speaker 3>thinking about this, what would there be any actual scientific

0:26:01.680 --> 0:26:05.040
<v Speaker 3>utility in it? And what we realized was that in

0:26:05.080 --> 0:26:09.399
<v Speaker 3>a lot of psychology experiments, people focus, for good reasons,

0:26:09.440 --> 0:26:12.479
<v Speaker 3>on very constrained situations. You know, they ask people was

0:26:13.119 --> 0:26:15.400
<v Speaker 3>the dot moving to the left or the right, or

0:26:15.600 --> 0:26:17.800
<v Speaker 3>was the patch of light there or not there, or

0:26:17.840 --> 0:26:20.680
<v Speaker 3>something very very simple, so that you can make very

0:26:20.680 --> 0:26:23.800
<v Speaker 3>precise measurements. But these things are very far from the

0:26:23.880 --> 0:26:28.639
<v Speaker 3>richness of everyday conscious experience. In the end, that's what

0:26:28.680 --> 0:26:31.600
<v Speaker 3>we want to understand. So what we realized was what

0:26:31.640 --> 0:26:35.439
<v Speaker 3>we built was not a model of any kind of

0:26:35.480 --> 0:26:39.040
<v Speaker 3>cognition of what people think or any kind of behavior

0:26:39.080 --> 0:26:42.360
<v Speaker 3>what they do. What we built was a model of experience.

0:26:42.760 --> 0:26:46.439
<v Speaker 3>We built a model of particular way of encountering the world,

0:26:47.280 --> 0:26:50.320
<v Speaker 3>and not many people have really been doing that. In fact,

0:26:50.680 --> 0:26:54.040
<v Speaker 3>it was probably one of the first examples of doing

0:26:54.080 --> 0:26:56.000
<v Speaker 3>something like this, and it was really just for fun.

0:26:56.359 --> 0:27:01.000
<v Speaker 3>So from that starting point, then you're point is exactly right.

0:27:01.080 --> 0:27:06.720
<v Speaker 3>So that initial network was set up to project expectations

0:27:06.720 --> 0:27:09.760
<v Speaker 3>of dogs into everything. But so what we then did

0:27:10.000 --> 0:27:13.240
<v Speaker 3>was we moved on from the Google Deep Dream algorithm

0:27:13.280 --> 0:27:17.600
<v Speaker 3>to some more complicated neural network architecture that we could

0:27:17.680 --> 0:27:21.600
<v Speaker 3>tweak in different ways so that we could begin to

0:27:21.640 --> 0:27:26.200
<v Speaker 3>simulate different kinds of hallucinations. So some hallucinations are very

0:27:26.320 --> 0:27:30.640
<v Speaker 3>rich and very complex, others are very simple and very geometric.

0:27:31.760 --> 0:27:36.560
<v Speaker 3>Some hallucinations appear out of nowhere, you know, they just spontaneous.

0:27:36.560 --> 0:27:41.600
<v Speaker 3>Theorize other hallucinations are transformations of things that are already there.

0:27:41.640 --> 0:27:44.920
<v Speaker 3>So we were able to kind of create this space

0:27:45.000 --> 0:27:48.040
<v Speaker 3>we could move around in to generate these different kinds

0:27:48.040 --> 0:27:49.440
<v Speaker 3>of experience.

0:27:49.960 --> 0:27:51.280
<v Speaker 2>So tell us what you learned from that.

0:27:51.600 --> 0:27:53.919
<v Speaker 3>So what we were able to do this is with

0:27:54.520 --> 0:27:57.760
<v Speaker 3>my colleagues David Schwartzman and ks Ksuzuki.

0:27:57.840 --> 0:27:59.320
<v Speaker 4>They did all this work. By the way, I want

0:27:59.359 --> 0:28:00.480
<v Speaker 4>to make that very clear.

0:28:01.640 --> 0:28:06.520
<v Speaker 3>We went to people who have these hallucination in real life,

0:28:06.520 --> 0:28:10.600
<v Speaker 3>people with Parkinson's disease, people with another condition you mentioned,

0:28:10.720 --> 0:28:14.639
<v Speaker 3>Charles Bonne syndrome, people who've had psychedelic experiences, not that

0:28:14.720 --> 0:28:16.120
<v Speaker 3>we're having them then and.

0:28:16.080 --> 0:28:18.040
<v Speaker 4>There, but have had them.

0:28:18.520 --> 0:28:23.439
<v Speaker 3>And we ask them to pick examples from our models

0:28:23.480 --> 0:28:27.280
<v Speaker 3>that were most similar to the experiences that they had,

0:28:27.800 --> 0:28:33.040
<v Speaker 3>and that way we can test our hypotheses about the

0:28:33.119 --> 0:28:38.240
<v Speaker 3>computational basis of these different kinds of hallucinations. So eventually,

0:28:38.280 --> 0:28:41.240
<v Speaker 3>and we're not there yet, but eventually the idea is

0:28:41.280 --> 0:28:43.600
<v Speaker 3>by doing this, we'll be able to make some predictions

0:28:43.960 --> 0:28:46.560
<v Speaker 3>about what we might see if we put these people

0:28:46.560 --> 0:28:50.479
<v Speaker 3>in brain imaging scanners and image what's happening while they

0:28:50.480 --> 0:28:55.040
<v Speaker 3>have their hallucinations. That's the next step, And overall the

0:28:55.080 --> 0:28:57.600
<v Speaker 3>goal is, I think, to put it in this larger frame,

0:28:58.000 --> 0:29:00.720
<v Speaker 3>you know, when you want to understand something like how

0:29:00.760 --> 0:29:05.200
<v Speaker 3>we experience the world, the nature of perception, it's often

0:29:05.200 --> 0:29:08.160
<v Speaker 3>a very good idea to look at those situations where

0:29:08.320 --> 0:29:11.080
<v Speaker 3>things are a little bit strange, you know, where people

0:29:11.120 --> 0:29:13.640
<v Speaker 3>are experiencing things differently. You poke around in it and

0:29:13.680 --> 0:29:17.240
<v Speaker 3>see what happens when things a little bit out of whack.

0:29:17.680 --> 0:29:21.680
<v Speaker 3>So the utility of studying hallucinations for me, it's firstly

0:29:21.760 --> 0:29:24.120
<v Speaker 3>for the people that have them. We can help them

0:29:24.160 --> 0:29:29.360
<v Speaker 3>understand their lived experience better. But it also reflects back

0:29:29.440 --> 0:29:33.640
<v Speaker 3>on our understanding of perception in general, because, as we've

0:29:33.680 --> 0:29:36.160
<v Speaker 3>been saying, fundamentally, it's the same process.

0:29:38.160 --> 0:29:41.480
<v Speaker 1>Yes, now, let me drill in on this for a minute,

0:29:41.480 --> 0:29:46.320
<v Speaker 1>because you and I are both fascinated by individual differences

0:29:46.560 --> 0:29:50.160
<v Speaker 1>in the reality inside different heads, and I've made many

0:29:50.200 --> 0:29:53.960
<v Speaker 1>episodes on this topic. For example, the spectrum from a

0:29:54.120 --> 0:29:57.760
<v Speaker 1>fantasia to hyperfantasia, or the internal voice, or what happens

0:29:57.760 --> 0:30:01.240
<v Speaker 1>with synesthesia of different types. All these of things indicate

0:30:01.280 --> 0:30:03.960
<v Speaker 1>that we're experiencing different realities and ways that we can study.

0:30:04.400 --> 0:30:04.560
<v Speaker 4>You.

0:30:05.160 --> 0:30:09.440
<v Speaker 1>With your colleague Fiona mcpheerson, you launched the perception census.

0:30:10.000 --> 0:30:12.120
<v Speaker 1>Tell us about that and tell us what you've learned.

0:30:12.680 --> 0:30:13.720
<v Speaker 4>Oh, thank you for asking this.

0:30:13.760 --> 0:30:15.840
<v Speaker 3>I mean, I'm glad we're talking about this because I

0:30:15.880 --> 0:30:18.840
<v Speaker 3>think it is probably one of our strongest overlaps. And

0:30:18.880 --> 0:30:20.440
<v Speaker 3>I have to say a lot of my interest in

0:30:20.480 --> 0:30:25.640
<v Speaker 3>this area was inspired by conversations with you dating back scarily,

0:30:25.720 --> 0:30:28.080
<v Speaker 3>I think well over twenty years now when we first

0:30:28.080 --> 0:30:31.600
<v Speaker 3>started talking about these things, which but certainly the work

0:30:31.600 --> 0:30:35.800
<v Speaker 3>in synesthesia individual differences, it falls out as a consequence

0:30:35.840 --> 0:30:38.160
<v Speaker 3>of this way of thinking, and I think this is

0:30:38.200 --> 0:30:41.400
<v Speaker 3>worth saying first. If we start with a textbook view

0:30:41.560 --> 0:30:47.000
<v Speaker 3>of visual perception, it's kind of easy to think that

0:30:47.080 --> 0:30:49.840
<v Speaker 3>we will all see the world hear the world in

0:30:49.960 --> 0:30:54.280
<v Speaker 3>roughly the same way. And that's also how perceptual experience

0:30:54.280 --> 0:30:56.760
<v Speaker 3>feels like. It feels like I just see the world

0:30:56.800 --> 0:30:59.640
<v Speaker 3>as it is. It doesn't seem to me as though

0:30:59.880 --> 0:31:02.880
<v Speaker 3>it depends all that much on my brain, or certainly

0:31:02.880 --> 0:31:05.320
<v Speaker 3>not on the specific because of my brain compared to yours.

0:31:06.240 --> 0:31:09.560
<v Speaker 3>But how it seems is never a particularly good guide

0:31:09.560 --> 0:31:13.800
<v Speaker 3>to how things are and in this view of perception,

0:31:13.920 --> 0:31:20.400
<v Speaker 3>as this prediction, this controlled hallucination, this generative process, then

0:31:21.040 --> 0:31:22.840
<v Speaker 3>it's going to be different for each and every one

0:31:22.880 --> 0:31:24.640
<v Speaker 3>of us. You know, we all differ on the outside

0:31:24.640 --> 0:31:27.800
<v Speaker 3>in skin color and height and body shape, and we

0:31:27.840 --> 0:31:31.520
<v Speaker 3>all have slightly different brains too, and so we should

0:31:31.560 --> 0:31:35.400
<v Speaker 3>all experience the world to some extent differently. But the

0:31:35.480 --> 0:31:38.560
<v Speaker 3>key difference here is it's easy to tell whether people

0:31:38.600 --> 0:31:40.880
<v Speaker 3>are different heights, even if the difference is quite small.

0:31:40.920 --> 0:31:42.440
<v Speaker 3>You know, I can just look at two people standing

0:31:42.480 --> 0:31:45.080
<v Speaker 3>next to each other and I'll see if they're one's

0:31:45.120 --> 0:31:50.160
<v Speaker 3>taller than the other. But if you experience red slightly

0:31:50.200 --> 0:31:55.680
<v Speaker 3>differently from me, or time slightly differently from me, how

0:31:55.840 --> 0:31:59.440
<v Speaker 3>will we ever know? Because your experience is private, subjective

0:31:59.480 --> 0:32:02.280
<v Speaker 3>to you will probably use the same words. You know,

0:32:02.440 --> 0:32:06.240
<v Speaker 3>it's read that lasted about a second. It's so much

0:32:06.240 --> 0:32:08.920
<v Speaker 3>harder to tell. And so we end up assuming, I think,

0:32:09.080 --> 0:32:15.240
<v Speaker 3>overestimating the similarity of our inner world. And so this

0:32:15.360 --> 0:32:19.680
<v Speaker 3>project of the Perception Census, with Fiona Macpherson and many

0:32:19.720 --> 0:32:22.560
<v Speaker 3>other colleagues, Reny by Kovira, a postdoc who really drove

0:32:22.600 --> 0:32:27.440
<v Speaker 3>it here at Sussex, we wanted to study these individual differences,

0:32:27.440 --> 0:32:30.920
<v Speaker 3>but we wanted to do it at scale. So this

0:32:31.120 --> 0:32:33.440
<v Speaker 3>is not a new idea, David. You've done a lot

0:32:33.440 --> 0:32:36.040
<v Speaker 3>of this work, contributed a lot to this literature already.

0:32:37.120 --> 0:32:41.000
<v Speaker 3>But many of these studies focus on one or two

0:32:41.080 --> 0:32:45.640
<v Speaker 3>or three aspects of perception. Maybe synesthesia, which I'm sure

0:32:45.640 --> 0:32:47.640
<v Speaker 3>your listeners will know about because you wrote the book

0:32:47.680 --> 0:32:51.880
<v Speaker 3>on this, literally several books, but you know, or maybe

0:32:51.880 --> 0:32:58.120
<v Speaker 3>something else like time or ability to discriminate different musical notes.

0:32:58.840 --> 0:33:01.000
<v Speaker 3>We wanted to look at lot, lots of things together,

0:33:01.040 --> 0:33:03.360
<v Speaker 3>and we wanted to look at a lot of people,

0:33:03.440 --> 0:33:07.840
<v Speaker 3>and people from many places and of many ages, so

0:33:07.920 --> 0:33:12.680
<v Speaker 3>we got quite ambitious. We put together over fifty different

0:33:12.720 --> 0:33:17.280
<v Speaker 3>tasks rather than just two or three, fifty different experiments

0:33:17.320 --> 0:33:21.280
<v Speaker 3>that people could do, lots of visual illusions, sound had

0:33:21.320 --> 0:33:23.040
<v Speaker 3>to be things people could do at home, so we

0:33:23.080 --> 0:33:27.560
<v Speaker 3>couldn't do things like smell whatever, But fifty different things,

0:33:28.240 --> 0:33:32.280
<v Speaker 3>and overall we were able to get around forty thousand

0:33:32.320 --> 0:33:38.280
<v Speaker 3>people engaged in the census from ages of eighteen to

0:33:38.440 --> 0:33:41.400
<v Speaker 3>well over seventy and from one hundred and twenty seven

0:33:41.560 --> 0:33:42.680
<v Speaker 3>different countries.

0:33:43.000 --> 0:33:43.320
<v Speaker 1>Wow.

0:33:43.440 --> 0:33:47.640
<v Speaker 3>So it's been a huge data gathering effort and I

0:33:47.680 --> 0:33:49.800
<v Speaker 3>really see this as a resource, and I hope it's

0:33:49.840 --> 0:33:53.600
<v Speaker 3>going to be an important resource for the whole community

0:33:53.680 --> 0:33:56.600
<v Speaker 3>because we're going to make the data entirely open and

0:33:56.640 --> 0:33:59.080
<v Speaker 3>it can be a bit of a sandpit for testing

0:34:00.440 --> 0:34:03.200
<v Speaker 3>ideas or hypotheses that people might have. You might want

0:34:03.240 --> 0:34:07.680
<v Speaker 3>to ask, oh, to somebody with more vivid mental imagery,

0:34:07.840 --> 0:34:12.480
<v Speaker 3>you know, do they see more different shades of color?

0:34:13.400 --> 0:34:16.600
<v Speaker 3>What things tend to go together? And as part of

0:34:16.640 --> 0:34:20.080
<v Speaker 3>the census, we also have some data on people whether

0:34:20.719 --> 0:34:27.000
<v Speaker 3>where they reside on some of the more clinical dimensions too, autism, ADHD,

0:34:27.840 --> 0:34:32.160
<v Speaker 3>things like that, so we can start to understand how

0:34:32.320 --> 0:34:37.920
<v Speaker 3>these conditions relate to the normal spectrum of variability. So

0:34:37.960 --> 0:34:42.439
<v Speaker 3>I've been using the term here perceptual diversity rather than

0:34:42.760 --> 0:34:46.520
<v Speaker 3>what many people have heard neurodiversity, And I want to

0:34:46.560 --> 0:34:49.440
<v Speaker 3>just dwell on that for a second, because this idea

0:34:49.520 --> 0:34:52.480
<v Speaker 3>of neurodiversity has been very important and it's led to

0:34:52.880 --> 0:34:57.879
<v Speaker 3>a lot of recognition that people with conditions like autism

0:34:58.000 --> 0:35:00.399
<v Speaker 3>is the one that's most commonly used here as others

0:35:00.400 --> 0:35:05.399
<v Speaker 3>as well ADHD, that they experience things differently and that

0:35:05.440 --> 0:35:09.440
<v Speaker 3>can cause some problems, can give some benefits, but it's different.

0:35:09.800 --> 0:35:15.040
<v Speaker 3>But ironically, in my mind, the idea of neurodiversity has

0:35:15.760 --> 0:35:19.800
<v Speaker 3>kind of reinforced the idea that if you're not neurodivergent

0:35:19.960 --> 0:35:24.080
<v Speaker 3>in some way, then you're neurotypical and you see the

0:35:24.080 --> 0:35:29.759
<v Speaker 3>world as it is, and it's underplayed I think the reality,

0:35:30.120 --> 0:35:32.920
<v Speaker 3>or certainly the reality we're exploring with the census.

0:35:33.000 --> 0:35:35.200
<v Speaker 4>Let's see if it's true that.

0:35:35.560 --> 0:35:40.000
<v Speaker 3>There's just variation, and maybe when you get somewhere towards

0:35:40.080 --> 0:35:43.319
<v Speaker 3>the extreme, if a distribution, a label is slapped on

0:35:43.360 --> 0:35:48.000
<v Speaker 3>it and it becomes a neurodivergent condition. But I think

0:35:48.000 --> 0:35:52.200
<v Speaker 3>that if we all understood that each of us experiences

0:35:52.239 --> 0:35:57.400
<v Speaker 3>the world in our own unique individual way, it will

0:35:57.880 --> 0:36:01.920
<v Speaker 3>This is not at all to diminish or minimize neurodiversion conditions.

0:36:01.960 --> 0:36:05.279
<v Speaker 3>I just want to understand them as part of the

0:36:05.360 --> 0:36:10.520
<v Speaker 3>spectrum in which there's variation among all of us, just

0:36:10.560 --> 0:36:13.719
<v Speaker 3>as there is in high body shape anything else. That's

0:36:13.719 --> 0:36:17.640
<v Speaker 3>what the perception census is empirically trying to look at,

0:36:17.640 --> 0:36:20.399
<v Speaker 3>because we just don't have this deita yet. How much

0:36:20.480 --> 0:36:22.520
<v Speaker 3>variation is out there, what does it look like, how

0:36:22.520 --> 0:36:23.280
<v Speaker 3>does it correlate?

0:36:40.000 --> 0:36:41.600
<v Speaker 1>By the way, just for final I'll tell you about

0:36:41.600 --> 0:36:44.480
<v Speaker 1>my idiothesis. Idiothesis is the term we use in my

0:36:44.600 --> 0:36:48.120
<v Speaker 1>lab for an idiotic hypothesis. But it's what I've been

0:36:48.160 --> 0:36:52.040
<v Speaker 1>interested in is, as you know, I'm a lover of literature,

0:36:52.440 --> 0:36:57.560
<v Speaker 1>and I've noticed that authors like Ernest Hemingway and let's say,

0:36:57.560 --> 0:37:00.440
<v Speaker 1>Thomas Hardy have very different ways of writing. And I

0:37:00.520 --> 0:37:05.680
<v Speaker 1>think this is a I'm calling this retrospective brain scanning,

0:37:05.760 --> 0:37:10.080
<v Speaker 1>because I think we can tell that Hemingway was probably

0:37:10.160 --> 0:37:14.359
<v Speaker 1>a fantasic, meaning he didn't picture details in his head

0:37:14.480 --> 0:37:17.040
<v Speaker 1>and didn't care about them. But somebody like Thomas Hardy

0:37:17.160 --> 0:37:22.200
<v Speaker 1>or you know, Fenimore Cooper or anybody like that, put

0:37:22.320 --> 0:37:25.680
<v Speaker 1>so many details on the page of the red curtains billowed,

0:37:25.719 --> 0:37:28.759
<v Speaker 1>and the flowers were these flowers in this arrangement and

0:37:28.800 --> 0:37:32.000
<v Speaker 1>so on. And I happen to be on the a

0:37:32.120 --> 0:37:34.879
<v Speaker 1>fantasic end of things, and so I can't stand those

0:37:34.880 --> 0:37:37.120
<v Speaker 1>authors who give tons and tons of detail.

0:37:37.120 --> 0:37:37.960
<v Speaker 2>That don't matter.

0:37:38.239 --> 0:37:40.719
<v Speaker 1>Now, the reason this is an idiothesis is because I

0:37:40.760 --> 0:37:43.040
<v Speaker 1>can't ever approve this is true, and there may be

0:37:43.120 --> 0:37:45.239
<v Speaker 1>other reasons why they wrote in the styles they did,

0:37:45.280 --> 0:37:49.120
<v Speaker 1>but I like the idea that this is yet another

0:37:49.239 --> 0:37:52.000
<v Speaker 1>correlation in the world is by looking at people's outputs,

0:37:52.040 --> 0:37:54.200
<v Speaker 1>the way they talk, the way they described the world,

0:37:54.400 --> 0:37:57.280
<v Speaker 1>and that might give us some even very rough insight

0:37:57.320 --> 0:37:58.840
<v Speaker 1>about what's happening internally.

0:37:59.360 --> 0:38:02.040
<v Speaker 3>I think that there's something too that I think. One

0:38:02.040 --> 0:38:04.200
<v Speaker 3>thing that's well known, I mean, you'll correct me if

0:38:04.200 --> 0:38:08.960
<v Speaker 3>I'm wrong, is that some authors were clearly synesthetic. So

0:38:09.000 --> 0:38:13.040
<v Speaker 3>I think Vladimir Nabokov was well known as a synaesthete.

0:38:13.200 --> 0:38:17.000
<v Speaker 3>And that's interesting not only for the perspective of how

0:38:17.040 --> 0:38:19.640
<v Speaker 3>he might have described the world around him, whether it

0:38:19.680 --> 0:38:23.520
<v Speaker 3>was detailed, but whether it affected other things, whether there

0:38:23.600 --> 0:38:27.120
<v Speaker 3>was sort of just more cross fertilization, more associativity in

0:38:27.520 --> 0:38:31.560
<v Speaker 3>the way he was writing compared to other people. Because synthesia,

0:38:31.640 --> 0:38:35.880
<v Speaker 3>which again is something that well you actually did. I

0:38:35.880 --> 0:38:39.160
<v Speaker 3>think it was the first large scale survey of synesthesia

0:38:39.239 --> 0:38:43.360
<v Speaker 3>in the synesthesia Battery. So we're looking at cynesesia again,

0:38:43.640 --> 0:38:46.720
<v Speaker 3>but of course in the same group of people, we're

0:38:46.719 --> 0:38:48.680
<v Speaker 3>looking at all kinds of other things too, So I'm

0:38:48.760 --> 0:38:53.160
<v Speaker 3>really excited to see what synesthesia is associated with. Unfortunately,

0:38:53.160 --> 0:38:55.640
<v Speaker 3>we didn't ask people whether they'd written any great works

0:38:55.640 --> 0:38:56.240
<v Speaker 3>of literature.

0:38:57.080 --> 0:38:59.480
<v Speaker 1>You know, the truth is always struggled with this question

0:38:59.520 --> 0:39:05.759
<v Speaker 1>about weather. Synesthesia is associated with higher creativity because in

0:39:05.800 --> 0:39:08.640
<v Speaker 1>a sense, it's not creative. If I always see M

0:39:08.680 --> 0:39:11.399
<v Speaker 1>as purple and B is orange and so on, that's

0:39:11.440 --> 0:39:12.480
<v Speaker 1>I'm particularly creative.

0:39:12.520 --> 0:39:14.040
<v Speaker 2>It's just an association that I have.

0:39:15.239 --> 0:39:17.960
<v Speaker 1>In the case of letting me in a book off

0:39:18.120 --> 0:39:21.680
<v Speaker 1>he you know, there are little clues that we have. Ever,

0:39:22.000 --> 0:39:25.080
<v Speaker 1>just as one example, he was a lepidopterist, which means,

0:39:25.120 --> 0:39:29.840
<v Speaker 1>you know, he studied butterflies, and for him, his favorite

0:39:29.840 --> 0:39:33.400
<v Speaker 1>butterfly had a particular pattern of yellow black yellow, and

0:39:34.320 --> 0:39:38.200
<v Speaker 1>so his novel Aida a Da happens to map onto

0:39:38.239 --> 0:39:42.840
<v Speaker 1>those colors of those letters, where you know A is

0:39:42.920 --> 0:39:44.440
<v Speaker 1>yellow and D is black.

0:39:44.239 --> 0:39:45.000
<v Speaker 2>And A is yellow.

0:39:45.120 --> 0:39:46.960
<v Speaker 1>So we see little clues like that, But I don't

0:39:47.000 --> 0:39:48.960
<v Speaker 1>know if it makes a person more creative or not.

0:39:49.280 --> 0:39:51.640
<v Speaker 3>Yeah, there's another example of that. I actually had that

0:39:51.719 --> 0:39:55.319
<v Speaker 3>writing a piece for a gallery catalog about and an

0:39:55.400 --> 0:39:56.719
<v Speaker 3>artist ya Yu Kusana.

0:39:56.840 --> 0:39:57.600
<v Speaker 4>She's still alive.

0:39:57.640 --> 0:40:01.799
<v Speaker 3>She's in a nineties in Japan, and she's very very

0:40:01.800 --> 0:40:07.160
<v Speaker 3>well known for these artworks that have things like red

0:40:07.239 --> 0:40:11.000
<v Speaker 3>polka dots everywhere, and that there's this sort of patterns

0:40:11.880 --> 0:40:16.640
<v Speaker 3>over everything, representations of landscapes and so on and it's

0:40:16.640 --> 0:40:19.000
<v Speaker 3>a it's a very distinctive style. She also does these

0:40:19.040 --> 0:40:23.439
<v Speaker 3>mirror infinity rooms. But it seems that she has this

0:40:23.880 --> 0:40:26.160
<v Speaker 3>way of experiencing the world in which she literally does

0:40:26.280 --> 0:40:31.040
<v Speaker 3>see red dots everywhere. At some times there's I forget

0:40:31.040 --> 0:40:33.319
<v Speaker 3>the technical name for it, but there's there's a you know,

0:40:33.360 --> 0:40:38.160
<v Speaker 3>a sort of sexual condition where where this happens. And

0:40:38.440 --> 0:40:44.040
<v Speaker 3>so exactly to your point, maybe her artistic innovation was

0:40:44.080 --> 0:40:47.680
<v Speaker 3>to some extent a direct transcription of what she was

0:40:47.920 --> 0:40:51.480
<v Speaker 3>just seeing. Now, I think that is not the full story.

0:40:51.520 --> 0:40:54.040
<v Speaker 3>You know, you can you have to. I think it

0:40:54.120 --> 0:40:58.120
<v Speaker 3>provides the raw materials that people can use to generate

0:40:59.000 --> 0:41:02.880
<v Speaker 3>pieces of art, whether the paintings, music, novels that have

0:41:03.000 --> 0:41:05.520
<v Speaker 3>a creative and artistic impact. So I don't think it

0:41:05.560 --> 0:41:12.200
<v Speaker 3>reduces But also I always agree with you that that disassociation.

0:41:12.400 --> 0:41:15.960
<v Speaker 3>We have to be careful because if it's automatic and normal,

0:41:16.200 --> 0:41:18.239
<v Speaker 3>you know, where is the creativity. The creativity is and

0:41:18.239 --> 0:41:20.560
<v Speaker 3>what you do with it. It's not the thing itself.

0:41:20.520 --> 0:41:20.960
<v Speaker 2>That's right.

0:41:21.000 --> 0:41:24.560
<v Speaker 1>And by the way, Kandinsky, the visual painter, he had

0:41:24.600 --> 0:41:27.160
<v Speaker 1>a very rich synessiege that was triggered by sound, and

0:41:27.200 --> 0:41:29.680
<v Speaker 1>so what he would do is crank up his phonograph

0:41:29.719 --> 0:41:32.560
<v Speaker 1>and stand in front of the canvas and paint what

0:41:32.680 --> 0:41:36.120
<v Speaker 1>he was seeing. And what's interesting about that, that's an

0:41:36.120 --> 0:41:41.520
<v Speaker 1>example where he's just transcribing what his perception is. What's

0:41:41.520 --> 0:41:44.719
<v Speaker 1>interesting is, given that we all have different internal worlds,

0:41:45.160 --> 0:41:48.120
<v Speaker 1>it's nice to find ways to share like that. And

0:41:48.200 --> 0:41:52.120
<v Speaker 1>I do think in let's say, literature and novels, you

0:41:52.200 --> 0:41:55.560
<v Speaker 1>are getting to step into the shoes of someone who

0:41:55.640 --> 0:41:57.839
<v Speaker 1>sees the world differently than you do, and that's why

0:41:57.880 --> 0:41:59.760
<v Speaker 1>we love to share stories with one another.

0:42:00.080 --> 0:42:03.480
<v Speaker 3>Yeah, I think again, something that you and I no

0:42:03.520 --> 0:42:06.680
<v Speaker 3>doubt agree on is that, you know, when when we

0:42:06.719 --> 0:42:09.520
<v Speaker 3>face the challenge of understanding consciousness, you know, in the

0:42:09.640 --> 0:42:12.839
<v Speaker 3>large in the sort of most expansive way, we want

0:42:12.880 --> 0:42:16.319
<v Speaker 3>to understand what it is like to be me or

0:42:16.360 --> 0:42:21.040
<v Speaker 3>to be you. And sure we can study visual perception

0:42:21.360 --> 0:42:23.799
<v Speaker 3>or auditory perception or something like that, but for a

0:42:23.800 --> 0:42:27.120
<v Speaker 3>lot of people, the experience of being who they are

0:42:28.200 --> 0:42:30.840
<v Speaker 3>is tied up with the self, that's tied up with

0:42:30.920 --> 0:42:34.759
<v Speaker 3>some kind of internal narrative, distinctive way of being in

0:42:34.800 --> 0:42:37.719
<v Speaker 3>the world. And literature has done, i think, more than

0:42:37.760 --> 0:42:42.000
<v Speaker 3>science to explore examine that aspect of consciousness.

0:42:42.120 --> 0:42:43.960
<v Speaker 1>I'm so glad you brought this up because I was

0:42:44.000 --> 0:42:46.480
<v Speaker 1>going to ask you about this. So in your book

0:42:46.520 --> 0:42:49.360
<v Speaker 1>Being You, you talked about the way that we build

0:42:49.400 --> 0:42:53.000
<v Speaker 1>a model of the outside world by minimizing the prediction aris,

0:42:53.360 --> 0:42:56.400
<v Speaker 1>but also we build models of the inside world.

0:42:56.400 --> 0:42:57.359
<v Speaker 2>So tell us about that.

0:42:57.680 --> 0:43:01.840
<v Speaker 3>So this is another INVERTI if you like a conceptual

0:43:02.600 --> 0:43:06.080
<v Speaker 3>upside down move, We've already had one, which is the

0:43:06.160 --> 0:43:09.279
<v Speaker 3>idea that instead of experiencing the world in this kind

0:43:09.360 --> 0:43:12.919
<v Speaker 3>of outside in direction where the world just pours into

0:43:12.960 --> 0:43:17.160
<v Speaker 3>the mind, it's this act of construction, this controlled hallucination. Now,

0:43:17.239 --> 0:43:20.920
<v Speaker 3>another common assumption or sort of it might seem an

0:43:20.960 --> 0:43:23.839
<v Speaker 3>obvious way of thinking about things, is when we think

0:43:23.840 --> 0:43:28.200
<v Speaker 3>about the self, and it might seem just intuitive to

0:43:28.280 --> 0:43:31.919
<v Speaker 3>say that the self what it is to be me. Well,

0:43:31.960 --> 0:43:35.319
<v Speaker 3>that's the thing that does the perceiving. There's something, there's

0:43:35.320 --> 0:43:39.160
<v Speaker 3>some essence of me inside my skull. That is the

0:43:39.200 --> 0:43:44.760
<v Speaker 3>recipients of all these perceptions, however they're constructed, that takes

0:43:44.760 --> 0:43:47.720
<v Speaker 3>them in, figures out what to do next, does something,

0:43:47.800 --> 0:43:50.320
<v Speaker 3>and we sense, we think, we act.

0:43:50.480 --> 0:43:51.839
<v Speaker 4>And go round and round and round.

0:43:53.040 --> 0:43:58.120
<v Speaker 3>Now, I think this is not the way to think

0:43:58.160 --> 0:44:00.880
<v Speaker 3>about things, I think is very different. Rather than the

0:44:00.960 --> 0:44:04.640
<v Speaker 3>self being that which does the perceiving, I think it's

0:44:04.800 --> 0:44:08.640
<v Speaker 3>more correct to say that the self itself is a

0:44:08.760 --> 0:44:14.759
<v Speaker 3>kind of perception. So there's just a same process going on.

0:44:14.880 --> 0:44:20.720
<v Speaker 3>The brain is making inferences about sensory signals from different

0:44:20.719 --> 0:44:24.320
<v Speaker 3>places and over different time scales. Some of those inferences

0:44:24.400 --> 0:44:29.120
<v Speaker 3>underlie our experiences of the world, and some of those inferences,

0:44:29.560 --> 0:44:34.839
<v Speaker 3>some of those controlled hallucinations, are what the self actually is.

0:44:34.880 --> 0:44:40.719
<v Speaker 3>The self is this collection of perceptions that have and

0:44:40.760 --> 0:44:43.040
<v Speaker 3>I think this is the key, you know, So why

0:44:43.160 --> 0:44:45.799
<v Speaker 3>is the self different from the world. What's special about

0:44:45.800 --> 0:44:48.600
<v Speaker 3>the self? Well, one of the things that's special about

0:44:48.600 --> 0:44:52.560
<v Speaker 3>the self is the body. So perceptions of self, for

0:44:52.640 --> 0:44:58.640
<v Speaker 3>me anyway, are rooted in the brain's perception predictions about

0:44:59.239 --> 0:45:03.920
<v Speaker 3>the body, and all our aspects itself are built on that.

0:45:05.560 --> 0:45:08.759
<v Speaker 1>Great So your brain is monitoring the outside world, and

0:45:08.800 --> 0:45:11.640
<v Speaker 1>it's monitoring the inside world inside the body.

0:45:12.200 --> 0:45:15.320
<v Speaker 2>And he made the argument that.

0:45:15.320 --> 0:45:20.879
<v Speaker 1>It not only tries to predict, but eventually becomes good

0:45:20.960 --> 0:45:23.600
<v Speaker 1>at saying Okay, look, this is my model is that

0:45:23.680 --> 0:45:26.200
<v Speaker 1>let's say the body temperature should be at this, so

0:45:26.320 --> 0:45:28.960
<v Speaker 1>if it fluctuates, this is what gives you the ability

0:45:29.000 --> 0:45:31.880
<v Speaker 1>to do homeostasis to keep things in order because you

0:45:32.200 --> 0:45:34.400
<v Speaker 1>have a well established model at this point.

0:45:34.640 --> 0:45:35.640
<v Speaker 4>That's absolutely right.

0:45:35.920 --> 0:45:39.360
<v Speaker 3>And I know you recently had Lisa Felman Barrett on

0:45:39.840 --> 0:45:43.680
<v Speaker 3>the podcast, and she and I have a pretty similar

0:45:43.760 --> 0:45:45.680
<v Speaker 3>view about this, but I think we came to it

0:45:45.760 --> 0:45:48.080
<v Speaker 3>from very different directions. I mean, Lisa has always been

0:45:48.120 --> 0:45:53.000
<v Speaker 3>interested specifically in emotion and pushing back against these Diarwinian

0:45:53.040 --> 0:45:57.200
<v Speaker 3>ideas of hard coded emotion circuits in the brain. I

0:45:57.320 --> 0:46:01.399
<v Speaker 3>came to these kinds of ideas by just saying thinking about, well,

0:46:01.400 --> 0:46:04.240
<v Speaker 3>how does the brain perceive the outside world, Well, maybe

0:46:04.239 --> 0:46:08.719
<v Speaker 3>there's something similar happening about emotion. Building actually on some

0:46:08.840 --> 0:46:12.359
<v Speaker 3>very early ideas of William James and Carl Langer, who

0:46:12.440 --> 0:46:16.680
<v Speaker 3>talked about emotion as a process of the brain's appraisal

0:46:16.800 --> 0:46:20.880
<v Speaker 3>or interpretation of the physiological condition of the body. But

0:46:21.000 --> 0:46:23.520
<v Speaker 3>where we end up is somewhere. It's not exactly the same.

0:46:23.800 --> 0:46:26.480
<v Speaker 3>There are differences between how Lisa and I see things,

0:46:26.880 --> 0:46:32.760
<v Speaker 3>But where we end up is one fundamental realization about

0:46:32.760 --> 0:46:37.520
<v Speaker 3>what brains are for that really I think casts everything

0:46:37.600 --> 0:46:41.560
<v Speaker 3>we think about perception consciousness in a different light, and

0:46:41.640 --> 0:46:45.600
<v Speaker 3>this is that brains are not for creating art, or

0:46:45.640 --> 0:46:50.080
<v Speaker 3>writing poetry, or doing complex math, or even having conversations.

0:46:50.440 --> 0:46:53.000
<v Speaker 3>If you think about what the primary duty of any

0:46:53.040 --> 0:46:56.920
<v Speaker 3>brain is, it's to keep the body and itself alive.

0:46:57.440 --> 0:47:00.480
<v Speaker 3>If you don't do that, you don't do anything. And

0:47:00.600 --> 0:47:03.200
<v Speaker 3>to keep it an organism alive is a difficult thing.

0:47:03.239 --> 0:47:06.040
<v Speaker 3>I mean, that's why evolution has shaped all these weird

0:47:06.040 --> 0:47:09.960
<v Speaker 3>and wonderful creatures. But it usually well. In fact, it

0:47:10.000 --> 0:47:16.480
<v Speaker 3>always requires keeping certain physiological variables like heart rate, blood pressure,

0:47:16.760 --> 0:47:21.560
<v Speaker 3>blood oxygenation within very tight ranges. You've got to regulate

0:47:21.560 --> 0:47:24.960
<v Speaker 3>your physiology. If your blood oxygen drops, you won't last

0:47:25.080 --> 0:47:28.520
<v Speaker 3>very long if it drops too much. And so how

0:47:28.560 --> 0:47:32.040
<v Speaker 3>does the brain do this well? Any control engineer will

0:47:32.080 --> 0:47:35.239
<v Speaker 3>tell you that a good way to regulate something, to

0:47:35.360 --> 0:47:38.400
<v Speaker 3>keep it where it needs to be, is to have

0:47:38.440 --> 0:47:41.440
<v Speaker 3>a predictive model about it, because if you have a

0:47:41.440 --> 0:47:46.360
<v Speaker 3>predictive model, you can anticipate deviations. When we both finish

0:47:46.440 --> 0:47:50.040
<v Speaker 3>recording and we stand up, the brain is anticipating that

0:47:50.120 --> 0:47:53.560
<v Speaker 3>our blood pressure will drop a bit, so it transiently

0:47:53.600 --> 0:47:58.040
<v Speaker 3>increases the blood pressure. It constricts our vessels, so our

0:47:58.080 --> 0:48:01.319
<v Speaker 3>blood pressure in fact remains pretty much exactly the same.

0:48:01.360 --> 0:48:05.680
<v Speaker 3>We don't faint, So the ability to control and regulate

0:48:06.360 --> 0:48:12.120
<v Speaker 3>is done best through prediction. And so for me that

0:48:12.120 --> 0:48:16.839
<v Speaker 3>that's the fundamental reason why brains work this way, why

0:48:17.040 --> 0:48:20.440
<v Speaker 3>perception works this way. It's all built on this fundamental

0:48:20.440 --> 0:48:26.640
<v Speaker 3>imperative of the brain to regulate homeostatically, allostatically the physiology

0:48:26.880 --> 0:48:28.960
<v Speaker 3>of the body. And I think the way I like

0:48:29.000 --> 0:48:30.640
<v Speaker 3>to put it in my book is we experience the

0:48:30.680 --> 0:48:34.399
<v Speaker 3>world and the self with through and because of our

0:48:34.520 --> 0:48:35.760
<v Speaker 3>living bodies.

0:48:35.840 --> 0:48:37.800
<v Speaker 2>And so impact that just a little bit more.

0:48:37.719 --> 0:48:42.640
<v Speaker 3>So, there's I mean, this whole question of what emotions are,

0:48:42.880 --> 0:48:45.440
<v Speaker 3>how they come about with their force is super super interesting.

0:48:45.800 --> 0:48:49.200
<v Speaker 3>But they kind of polarize two extremes, and one extreme

0:48:49.600 --> 0:48:53.920
<v Speaker 3>you have Darwin, or at least a kind of caricature

0:48:53.960 --> 0:48:57.920
<v Speaker 3>of Darwin, which says that there are certain there's a

0:48:57.960 --> 0:49:03.640
<v Speaker 3>certain repertoire of emotions happiness, anger, sadness, discussed things like this.

0:49:04.080 --> 0:49:09.520
<v Speaker 3>They're pretty much hard wired into our brains. They're kind

0:49:09.560 --> 0:49:13.479
<v Speaker 3>of different from cognition, from thinking, you know, they're more

0:49:14.360 --> 0:49:20.279
<v Speaker 3>physiological like survival reflexes that feel particular ways, and they're

0:49:20.280 --> 0:49:25.640
<v Speaker 3>pretty fixed and conserved. The ideas across time across cultures,

0:49:26.239 --> 0:49:28.640
<v Speaker 3>and this has been kind of the mainstream view, I think,

0:49:28.680 --> 0:49:31.160
<v Speaker 3>in one way or another for a long time. And

0:49:31.200 --> 0:49:33.040
<v Speaker 3>then on the other hand, you've got the idea of

0:49:33.800 --> 0:49:38.839
<v Speaker 3>emotions as being somewhat constructed. Now this has also got

0:49:38.840 --> 0:49:41.520
<v Speaker 3>a long history. William James, we mentioned a minute ago,

0:49:41.600 --> 0:49:49.600
<v Speaker 3>he realized over one hundred years ago that emotions were very,

0:49:49.719 --> 0:49:53.360
<v Speaker 3>very deeply embodied. That you know, he proposed the idea

0:49:53.400 --> 0:49:56.959
<v Speaker 3>that if say, a bear comes charging into the room,

0:49:57.520 --> 0:50:00.520
<v Speaker 3>we will feel afraid and then we might run away,

0:50:00.760 --> 0:50:05.040
<v Speaker 3>and it might be normal to think that, you know,

0:50:05.760 --> 0:50:08.920
<v Speaker 3>it's the sight of the bear that causes the feeling

0:50:08.960 --> 0:50:11.360
<v Speaker 3>of fear, and then the feeling of the fear causes

0:50:11.400 --> 0:50:15.680
<v Speaker 3>me to run away, and James is becoming a common

0:50:15.719 --> 0:50:19.120
<v Speaker 3>theme to our conversation. Now flips this around, right, So,

0:50:20.200 --> 0:50:22.759
<v Speaker 3>for William James and also Carl Ager, the bear comes

0:50:22.800 --> 0:50:26.800
<v Speaker 3>charging into the room, my brain registers the presence of

0:50:27.200 --> 0:50:31.879
<v Speaker 3>the bear. This puts my body into a particular physiological state,

0:50:31.960 --> 0:50:36.680
<v Speaker 3>and adrenaline shoots up, courts all starts racing around. And

0:50:36.719 --> 0:50:42.400
<v Speaker 3>then my brain perceives this change happening in the body

0:50:42.520 --> 0:50:45.800
<v Speaker 3>in the context of a bear being there, and that

0:50:46.160 --> 0:50:49.680
<v Speaker 3>is the emotion of fear. So fear in this case

0:50:49.840 --> 0:50:52.160
<v Speaker 3>follows or is at least part of the change in

0:50:52.200 --> 0:50:54.839
<v Speaker 3>the body. It's not that fear then causes the change

0:50:54.880 --> 0:50:57.160
<v Speaker 3>in the body. The experience of fear is the perception

0:50:57.239 --> 0:51:01.000
<v Speaker 3>of what's happening in the body in this context of

0:51:01.400 --> 0:51:05.600
<v Speaker 3>something dangerous happening. So that's that's the way I think

0:51:05.640 --> 0:51:08.600
<v Speaker 3>of that. I've come to think about emotions as grounded

0:51:08.640 --> 0:51:13.239
<v Speaker 3>in this this imperative for regulation. And you know, just

0:51:13.320 --> 0:51:17.600
<v Speaker 3>as with the perception census, there will be variation, but

0:51:18.320 --> 0:51:20.480
<v Speaker 3>there will be also a lot of similarity. There's a

0:51:20.480 --> 0:51:24.239
<v Speaker 3>lot of similarities in the way we see things. So

0:51:24.920 --> 0:51:26.799
<v Speaker 3>you know, I tend to always land in this this

0:51:26.840 --> 0:51:30.919
<v Speaker 3>sort of happy or unhappy medium where there may be

0:51:30.960 --> 0:51:34.880
<v Speaker 3>some amount of biological conservation going on. There's sort of

0:51:34.880 --> 0:51:37.920
<v Speaker 3>good reasons for that, but there might also be more

0:51:38.000 --> 0:51:40.480
<v Speaker 3>variation than we might think.

0:51:41.320 --> 0:51:43.400
<v Speaker 1>Given the way that you are thinking about consciousness, what

0:51:43.440 --> 0:51:45.719
<v Speaker 1>do you think about other animals having consciousness?

0:51:45.760 --> 0:51:49.640
<v Speaker 2>And what to take on AI becoming conscious.

0:51:48.920 --> 0:51:53.319
<v Speaker 3>Two super important and increasingly timely questions. I mean, there's

0:51:53.360 --> 0:51:57.799
<v Speaker 3>so much excitement, height and some amount of anxiety and

0:51:57.840 --> 0:51:59.840
<v Speaker 3>fear about AI and.

0:52:01.480 --> 0:52:02.280
<v Speaker 4>Things are changing.

0:52:02.840 --> 0:52:05.200
<v Speaker 3>Animals, of course, have been around for a very long time,

0:52:06.920 --> 0:52:12.680
<v Speaker 3>and we've had over history varying views about their status

0:52:12.760 --> 0:52:16.200
<v Speaker 3>as conscious creatures or not, and I think they pose

0:52:16.239 --> 0:52:22.239
<v Speaker 3>us very different challenges. So we humans, we tend to

0:52:22.280 --> 0:52:25.399
<v Speaker 3>see the world through the lens of being human. We're

0:52:25.480 --> 0:52:31.160
<v Speaker 3>very anthropocentric, and not only that, we're very anthropomorphic. We

0:52:31.239 --> 0:52:35.480
<v Speaker 3>tend to project human like things into other systems on

0:52:35.520 --> 0:52:39.200
<v Speaker 3>the basis of what might be superficial similarities. So this

0:52:39.320 --> 0:52:42.560
<v Speaker 3>is to say that when it comes to other animals,

0:52:42.600 --> 0:52:48.000
<v Speaker 3>if they're different from us, we tend to withhold from

0:52:48.040 --> 0:52:51.840
<v Speaker 3>them things that we think are distinctively human or matter

0:52:51.920 --> 0:52:56.680
<v Speaker 3>to our humanity, like intelligence and consciousness. And I think

0:52:56.719 --> 0:52:59.239
<v Speaker 3>it's this combination of biases that can get us into

0:52:59.280 --> 0:53:02.600
<v Speaker 3>trouble here. Because we see things through a human lens.

0:53:02.680 --> 0:53:06.680
<v Speaker 3>We've tended over history to associate something like consciousness with

0:53:06.880 --> 0:53:10.400
<v Speaker 3>other things that we think of as distinctively human, like

0:53:10.600 --> 0:53:16.000
<v Speaker 3>intelligence and language. So if we do that and we

0:53:16.040 --> 0:53:20.240
<v Speaker 3>look at non human animals, we tend to reserve consciousness

0:53:20.239 --> 0:53:24.640
<v Speaker 3>for those animals that seem the smartest. And in fact,

0:53:25.040 --> 0:53:27.000
<v Speaker 3>you know, we've done worse than that. It wasn't that

0:53:27.080 --> 0:53:30.839
<v Speaker 3>long ago that people didn't give babies anesthesia. I mean,

0:53:30.880 --> 0:53:34.320
<v Speaker 3>this seems crazy now that it was not common practice

0:53:34.400 --> 0:53:38.799
<v Speaker 3>until a few decades ago, there was this sort of assumptions.

0:53:38.840 --> 0:53:41.400
<v Speaker 3>I didn't really feel paid, and I think that just

0:53:41.440 --> 0:53:48.880
<v Speaker 3>shows how deeply our assumptions like this can affect our practice.

0:53:49.200 --> 0:53:53.120
<v Speaker 3>And we have exactly the opposite situation now with artificial intelligence.

0:53:53.680 --> 0:53:58.560
<v Speaker 3>So AI systems like chat, GPT or Claude can speak

0:53:58.600 --> 0:54:01.399
<v Speaker 3>to us fluently. Whether it count as conversations, I'm much

0:54:01.480 --> 0:54:03.640
<v Speaker 3>less sure. I mean, Sherry Turkle has talked about this

0:54:03.680 --> 0:54:05.920
<v Speaker 3>beautifully and said, when we converse with a machine, we

0:54:06.000 --> 0:54:09.400
<v Speaker 3>unthinkably simplify what we mean by a conversation. It's a

0:54:09.440 --> 0:54:13.960
<v Speaker 3>different form of human machine interaction. But because words are

0:54:14.000 --> 0:54:17.560
<v Speaker 3>being exchanged and some of the things that language models

0:54:17.600 --> 0:54:22.359
<v Speaker 3>can say, it really are quite surprisingly articulate and informative.

0:54:23.080 --> 0:54:29.120
<v Speaker 3>We tend to project qualities like consciousness into these machines

0:54:29.320 --> 0:54:32.160
<v Speaker 3>because if it was a human being talking to us

0:54:32.200 --> 0:54:35.160
<v Speaker 3>like that, well that human being would clearly be conscious.

0:54:35.480 --> 0:54:36.120
<v Speaker 4>But it's not.

0:54:36.400 --> 0:54:40.360
<v Speaker 3>It's something very, very, very different. So I think the

0:54:40.360 --> 0:54:42.680
<v Speaker 3>first thing we have to do is recognize how much

0:54:43.880 --> 0:54:49.399
<v Speaker 3>our intuitions about the circle of consciousness, how far these

0:54:49.440 --> 0:54:52.480
<v Speaker 3>intuitions are shaped by our biases, and that we can't

0:54:52.520 --> 0:54:55.319
<v Speaker 3>just crawl out from under them, We can't get away

0:54:55.360 --> 0:54:59.000
<v Speaker 3>from them. These biases might be what we might call

0:54:59.080 --> 0:55:02.640
<v Speaker 3>cognitively imped like some visual illusions. You know, there are

0:55:02.640 --> 0:55:06.200
<v Speaker 3>some illusions that even when you know two lines are

0:55:06.440 --> 0:55:09.440
<v Speaker 3>the same length, they will always look different. This is

0:55:09.480 --> 0:55:12.960
<v Speaker 3>the Mullaalaya illusion. So even if we know we're biased

0:55:13.560 --> 0:55:17.360
<v Speaker 3>in these anthropocentric ways, we will still be unable to

0:55:17.440 --> 0:55:21.920
<v Speaker 3>resist these intuitions. So we need to just surface that

0:55:22.840 --> 0:55:26.600
<v Speaker 3>and then ask the question, so what's actually most likely

0:55:26.640 --> 0:55:32.240
<v Speaker 3>the case? And here I think there's extremely good reason

0:55:32.320 --> 0:55:37.600
<v Speaker 3>to believe that consciousness is pretty widespread in non human animals.

0:55:38.120 --> 0:55:41.200
<v Speaker 3>If you look through all mammals, whether it's a tree,

0:55:41.239 --> 0:55:46.400
<v Speaker 3>shrew or orangutang, they have the same basic neural architecture

0:55:46.440 --> 0:55:49.120
<v Speaker 3>that we know is important in human beings for consciouness.

0:55:49.360 --> 0:55:52.760
<v Speaker 3>I think things get really tricky when we look at birds,

0:55:52.800 --> 0:55:55.680
<v Speaker 3>when we look at fish, when we look at insects.

0:55:55.800 --> 0:55:58.440
<v Speaker 3>And here I just think we have to we can't

0:55:58.440 --> 0:56:00.680
<v Speaker 3>be determined, as we don't know one way or the other.

0:56:01.520 --> 0:56:05.400
<v Speaker 3>But we just need to keep updating our credence in

0:56:05.520 --> 0:56:08.239
<v Speaker 3>consciousness in these things. And I think the key thing

0:56:08.280 --> 0:56:10.040
<v Speaker 3>is we also have to ask, well, what kind of

0:56:10.040 --> 0:56:13.080
<v Speaker 3>consciousness matters. It may well be the case that not

0:56:13.200 --> 0:56:20.600
<v Speaker 3>many non human animals have fully developed reflexive, reflective experiences

0:56:20.640 --> 0:56:23.239
<v Speaker 3>of being particular individuals. I mean, we don't know yet,

0:56:23.239 --> 0:56:28.080
<v Speaker 3>but it seems unlikely. But ethically what matters is whether

0:56:28.120 --> 0:56:32.279
<v Speaker 3>they have the capacity to suffer, to feel pain. This

0:56:32.320 --> 0:56:34.840
<v Speaker 3>is a very utilitarian perspective, but I think it's a

0:56:34.880 --> 0:56:41.040
<v Speaker 3>sensible one. So I think we underestimate probably the extent

0:56:41.080 --> 0:56:45.360
<v Speaker 3>of animal consciousness, and I think we overestimate the likelihood

0:56:45.560 --> 0:56:49.799
<v Speaker 3>of AI being conscious. And there are many reasons why

0:56:49.800 --> 0:56:55.480
<v Speaker 3>I'm very skeptical of this, but fundamentally, my great basis

0:56:55.480 --> 0:56:59.400
<v Speaker 3>for the skepticism is I think we've just overused the

0:56:59.520 --> 0:57:03.520
<v Speaker 3>metaphor of the brain as a computer. It's a beautiful, brilliant,

0:57:03.760 --> 0:57:07.920
<v Speaker 3>powerful metaphor, but it's a metaphor. We've always used a

0:57:07.960 --> 0:57:10.600
<v Speaker 3>dominant technology of the day as a metaphor for the brain,

0:57:11.920 --> 0:57:14.960
<v Speaker 3>and we always get into trouble, or we usually get

0:57:15.000 --> 0:57:17.840
<v Speaker 3>into trouble when we start confusing a metaphor with the

0:57:17.840 --> 0:57:18.520
<v Speaker 3>thing itself.

0:57:19.200 --> 0:57:22.360
<v Speaker 1>What do you see, is the biggest unanswered question in

0:57:22.520 --> 0:57:26.160
<v Speaker 1>consciousness research and what excites you the most about where

0:57:26.160 --> 0:57:27.000
<v Speaker 1>the field is headed?

0:57:27.520 --> 0:57:31.720
<v Speaker 3>Oh wow, I mean the biggest unanswered question is it's

0:57:31.760 --> 0:57:36.800
<v Speaker 3>still the old question. How does it happen? We still

0:57:37.280 --> 0:57:39.960
<v Speaker 3>don't really know. I don't think. I mean, there's progress,

0:57:40.000 --> 0:57:42.520
<v Speaker 3>and to be honest, and I don't know. I'd be

0:57:42.560 --> 0:57:44.600
<v Speaker 3>interested if you feel the same way that id David.

0:57:44.600 --> 0:57:47.240
<v Speaker 3>We've been doing this more or less for the same

0:57:47.280 --> 0:57:52.720
<v Speaker 3>amount of time, long time now decades. Some days I

0:57:52.800 --> 0:57:55.960
<v Speaker 3>feel like, ah, it's still a complete mystery. You know,

0:57:56.000 --> 0:58:01.680
<v Speaker 3>we have neurons, chemicals, electrical signals. Why do I experience anything?

0:58:01.720 --> 0:58:04.200
<v Speaker 3>Why is there experience in the world, in the universe

0:58:04.240 --> 0:58:07.120
<v Speaker 3>at all? Those days, you know, we'll have a cup

0:58:07.120 --> 0:58:09.360
<v Speaker 3>of coffee and get on with things. But then on

0:58:09.400 --> 0:58:11.960
<v Speaker 3>other days I think back to where we were in

0:58:12.040 --> 0:58:14.720
<v Speaker 3>the You know, when I started studying and in the

0:58:14.880 --> 0:58:18.880
<v Speaker 3>early nineteen nineties, consciousness wasn't even on the menu if

0:58:18.920 --> 0:58:21.000
<v Speaker 3>you wanted to look at psychology and neuroscience.

0:58:21.040 --> 0:58:21.280
<v Speaker 2>It was.

0:58:21.440 --> 0:58:25.040
<v Speaker 3>It was ostracized completely. I mean we met because I

0:58:25.120 --> 0:58:27.439
<v Speaker 3>came to San Diego in the Lake in the early

0:58:27.480 --> 0:58:29.360
<v Speaker 3>two thousands, which was at the time one of the

0:58:29.360 --> 0:58:34.320
<v Speaker 3>only places where you could study consciousness legitimately with the

0:58:34.360 --> 0:58:38.000
<v Speaker 3>approval of a PI in a lab, and was still

0:58:38.000 --> 0:58:41.320
<v Speaker 3>a pretty rare thing to do. And so looking back

0:58:41.400 --> 0:58:43.480
<v Speaker 3>through that lens and looking at the theories that we

0:58:43.600 --> 0:58:45.919
<v Speaker 3>now have and the kinds of experiments that have been done,

0:58:46.560 --> 0:58:49.840
<v Speaker 3>and how we've learned more about different kinds of consciousness,

0:58:50.760 --> 0:58:54.320
<v Speaker 3>you know, I then worry less that this big metaphysical

0:58:54.600 --> 0:58:58.000
<v Speaker 3>existential question is still waiting in the wings.

0:58:58.320 --> 0:58:59.960
<v Speaker 4>And so I think that.

0:59:01.800 --> 0:59:03.320
<v Speaker 3>Maybe the way to put it, I haven't thought about

0:59:03.320 --> 0:59:05.440
<v Speaker 3>it in quite this way before, But maybe the biggest

0:59:06.080 --> 0:59:10.560
<v Speaker 3>unanswered question in consciousness research is whether there will turn

0:59:10.600 --> 0:59:14.760
<v Speaker 3>out to be a big unanswered question in consciousness research

0:59:14.880 --> 0:59:19.439
<v Speaker 3>or not. In other words, as we just understand more

0:59:19.480 --> 0:59:24.640
<v Speaker 3>and more about different kinds of experience, what happens in anesthesia,

0:59:24.800 --> 0:59:27.200
<v Speaker 3>maybe the question of consciousness will turn out to be

0:59:27.240 --> 0:59:30.400
<v Speaker 3>a little bit like the question of life.

0:59:30.480 --> 0:59:30.640
<v Speaker 1>You know.

0:59:30.640 --> 0:59:34.280
<v Speaker 3>One hundred and fifty years ago, many people thought that

0:59:34.360 --> 0:59:37.560
<v Speaker 3>life was something beyond the reach of science, that there

0:59:37.600 --> 0:59:40.800
<v Speaker 3>had to be something supernatural, some elan vital, some spark

0:59:40.840 --> 0:59:43.040
<v Speaker 3>of life to explain the difference between the living and

0:59:43.040 --> 0:59:46.240
<v Speaker 3>the non living. And of course We don't think that anymore.

0:59:46.280 --> 0:59:49.920
<v Speaker 3>I mean, life is still not a completely written book.

0:59:49.960 --> 0:59:54.760
<v Speaker 3>We don't understand everything, but there's no conceptual mystery. That

0:59:54.840 --> 0:59:58.800
<v Speaker 3>life is part of nature, and even its origin seems

0:59:59.040 --> 1:00:03.440
<v Speaker 3>increasingly within reach to explain and understand. And what happened

1:00:03.480 --> 1:00:06.560
<v Speaker 3>that wasn't that anybody proved that life didn't exist or

1:00:07.160 --> 1:00:10.400
<v Speaker 3>found the spark of life in some Eureka moment. Noe

1:00:11.280 --> 1:00:14.880
<v Speaker 3>biologists started just to make progress, explaining this property of

1:00:14.920 --> 1:00:20.440
<v Speaker 3>living systems homeostas is this property reproduction, this property metabolism,

1:00:21.200 --> 1:00:24.840
<v Speaker 3>And little by little we learned about the nature of

1:00:24.920 --> 1:00:29.360
<v Speaker 3>life and we stopped worrying that there had there was

1:00:29.560 --> 1:00:34.480
<v Speaker 3>something fundamentally inexplicable about it. And progress in science is

1:00:34.480 --> 1:00:37.520
<v Speaker 3>often like this. You know, sometimes it's not only the

1:00:37.560 --> 1:00:40.840
<v Speaker 3>answers that change, but it's the questions that change too.

1:00:41.520 --> 1:00:43.360
<v Speaker 3>So that's what I've got my own. That's what gives

1:00:43.360 --> 1:00:45.800
<v Speaker 3>me hope. I think we understand more when the questions

1:00:45.840 --> 1:00:47.720
<v Speaker 3>we ask start to look different.

1:00:49.160 --> 1:00:51.480
<v Speaker 2>I totally agree with you. And what's interesting.

1:00:51.640 --> 1:00:54.280
<v Speaker 1>What's been interesting for me is I also feel the

1:00:54.280 --> 1:00:57.880
<v Speaker 1>way you knew many mornings where I think, gosh, yeah,

1:00:57.880 --> 1:00:59.640
<v Speaker 1>when you and I were in San Diego and the

1:00:59.640 --> 1:01:04.400
<v Speaker 1>early thousands, the questions that were being asked were mostly

1:01:04.400 --> 1:01:07.480
<v Speaker 1>the same, but things have changed slowly. And just as

1:01:07.560 --> 1:01:11.720
<v Speaker 1>one example, at that time, we all sort of every

1:01:11.920 --> 1:01:16.040
<v Speaker 1>all neuroscientists were sort of snarky about artificial intelligence because

1:01:16.040 --> 1:01:18.280
<v Speaker 1>they felt like, Okay, we've been at this for a

1:01:18.320 --> 1:01:19.240
<v Speaker 1>long time, it's.

1:01:19.120 --> 1:01:20.320
<v Speaker 2>Not really happening.

1:01:20.560 --> 1:01:24.920
<v Speaker 1>There were artificial neural networks with the same principles that

1:01:25.000 --> 1:01:28.800
<v Speaker 1>we have now, but it seemed like it's never gonna happen.

1:01:28.840 --> 1:01:31.439
<v Speaker 1>And now we look at you at GPT every day

1:01:31.920 --> 1:01:35.960
<v Speaker 1>and do experiments on it, and we find, wow, it's

1:01:36.000 --> 1:01:37.800
<v Speaker 1>it's actually working in a way.

1:01:37.840 --> 1:01:39.360
<v Speaker 2>Now. Who knows if it's conscious.

1:01:39.440 --> 1:01:42.440
<v Speaker 1>I think we share the view that it's probably not conscious,

1:01:42.840 --> 1:01:49.160
<v Speaker 1>but boy is it impressive. And so because of improvements

1:01:49.200 --> 1:01:53.360
<v Speaker 1>in our technology, in our ability to measure things in biology,

1:01:53.760 --> 1:01:56.360
<v Speaker 1>in you know, in just data gathering and ways of

1:01:56.400 --> 1:01:59.920
<v Speaker 1>doing things bigger and better, we we find different views

1:02:00.160 --> 1:02:02.080
<v Speaker 1>now than we did one quarter century ago.

1:02:02.360 --> 1:02:03.200
<v Speaker 4>I think that that's right.

1:02:03.240 --> 1:02:06.440
<v Speaker 3>By the way, I have to just one other aspect

1:02:06.440 --> 1:02:08.440
<v Speaker 3>of the whole AI think that I think is really

1:02:09.040 --> 1:02:13.760
<v Speaker 3>useful to think about. So there's this whole debate about

1:02:13.800 --> 1:02:16.680
<v Speaker 3>whether chat GPT or language models might be conscious. People

1:02:16.720 --> 1:02:18.680
<v Speaker 3>ask the question, right, and some people think that they are.

1:02:19.200 --> 1:02:22.760
<v Speaker 3>But just yesterday I was lucky enough to visit deep

1:02:22.800 --> 1:02:27.760
<v Speaker 3>mines in London and that's where alpha fold was developed,

1:02:27.800 --> 1:02:31.240
<v Speaker 3>which is another AI system that's able to predict protein

1:02:31.960 --> 1:02:35.760
<v Speaker 3>structure from sequence I mean acid sequences. The protein folding

1:02:35.800 --> 1:02:38.760
<v Speaker 3>problem has been one of the biggest challenges in biology

1:02:38.760 --> 1:02:42.280
<v Speaker 3>for a long time. Alpha fold basically sorts that out. Now,

1:02:42.360 --> 1:02:46.000
<v Speaker 3>isn't it interesting that no one thinks that alpha fold

1:02:46.040 --> 1:02:49.680
<v Speaker 3>is conscious. I've not heard anybody suggests to me that

1:02:49.760 --> 1:02:51.760
<v Speaker 3>alpha fold might have experience.

1:02:52.280 --> 1:02:52.560
<v Speaker 2>Yet.

1:02:53.920 --> 1:02:57.480
<v Speaker 3>You know, there's some differences, but they're very, very similar

1:02:57.480 --> 1:02:59.280
<v Speaker 3>to the architectures. I mean they're made out of that.

1:02:59.440 --> 1:03:04.200
<v Speaker 3>They're both computer algorithms. Then you're on network based with

1:03:04.280 --> 1:03:07.360
<v Speaker 3>some other stuff that they even have transformer architectures. They're

1:03:07.400 --> 1:03:10.800
<v Speaker 3>really not that different. Yet our intuitions about the two

1:03:10.800 --> 1:03:12.840
<v Speaker 3>are so different. I think that really, to me highlights

1:03:12.880 --> 1:03:17.920
<v Speaker 3>how much of what we think is driven by our

1:03:17.960 --> 1:03:21.640
<v Speaker 3>psychological bias. I think the other thing is is that, yeah,

1:03:21.640 --> 1:03:24.040
<v Speaker 3>there can be this interesting nonlinearity here.

1:03:24.120 --> 1:03:24.280
<v Speaker 4>Right.

1:03:24.720 --> 1:03:29.080
<v Speaker 3>AI seemed to flatline for a long time, and there's

1:03:29.080 --> 1:03:34.400
<v Speaker 3>this sudden rush of discovery and invention and increase incompetence.

1:03:35.280 --> 1:03:37.480
<v Speaker 3>Maybe this is going to happen in the neuroscience of

1:03:37.480 --> 1:03:42.200
<v Speaker 3>consciousness too, And there are some super exciting developments over

1:03:42.280 --> 1:03:44.840
<v Speaker 3>where you're part of the world in Stanford, there's so

1:03:44.920 --> 1:03:48.720
<v Speaker 3>much exciting work going on in optogenetics and in synthetic biology.

1:03:49.240 --> 1:03:54.040
<v Speaker 3>People developing brain organoids, these these collections of brain cells

1:03:54.080 --> 1:03:58.080
<v Speaker 3>in dishes that are derived from human embryonic stem cells,

1:04:00.240 --> 1:04:03.440
<v Speaker 3>things that really, as I think you said, that give

1:04:03.520 --> 1:04:08.080
<v Speaker 3>us different perspectives, different views, different tools, and science often

1:04:08.120 --> 1:04:10.960
<v Speaker 3>needs that. Yeah, you can have ideas, you can have theories,

1:04:11.520 --> 1:04:15.000
<v Speaker 3>but a lot of advance historically in science is when

1:04:15.480 --> 1:04:20.480
<v Speaker 3>people acquire optit invent new tools, and I think we're

1:04:20.520 --> 1:04:23.240
<v Speaker 3>seeing a lot of that in neuroscience now, So I

1:04:23.240 --> 1:04:25.080
<v Speaker 3>am actually pretty optimistic for the future.

1:04:29.600 --> 1:04:32.480
<v Speaker 1>That was my interview with Analseth, professor of cognitive and

1:04:32.520 --> 1:04:36.680
<v Speaker 1>Computational neuroscience at Sussex and the author of Being You.

1:04:37.600 --> 1:04:42.040
<v Speaker 1>We explored here how our brains create our reality, from

1:04:42.400 --> 1:04:47.000
<v Speaker 1>control hallucinations to the rich diversity of individual perceptions.

1:04:47.120 --> 1:04:47.680
<v Speaker 2>What I want to.

1:04:47.720 --> 1:04:49.520
<v Speaker 1>Leave you with is an idea that you've heard me

1:04:49.560 --> 1:04:52.640
<v Speaker 1>talk about many times before on this podcast, which is

1:04:52.680 --> 1:04:57.000
<v Speaker 1>that consciousness is not just about directly experiencing the world,

1:04:57.000 --> 1:05:02.240
<v Speaker 1>but instead it's about actively constructing it. While consciousness remains

1:05:02.520 --> 1:05:06.120
<v Speaker 1>one of the central mysteries and neuroscience, today's conversation, I

1:05:06.160 --> 1:05:08.960
<v Speaker 1>hope gives us a lens through which to view it

1:05:09.040 --> 1:05:13.360
<v Speaker 1>not as something mystical or otherworldly, but as a grounded

1:05:13.440 --> 1:05:18.760
<v Speaker 1>biological phenomenon rooted in the brain's continuous dance of sensory

1:05:18.840 --> 1:05:23.480
<v Speaker 1>input and its own predictions. Now, thinking about our perception

1:05:23.640 --> 1:05:26.800
<v Speaker 1>of the world not as a direct reflection of reality,

1:05:26.800 --> 1:05:30.200
<v Speaker 1>but a construction of the brain, the inner world meeting

1:05:30.240 --> 1:05:33.919
<v Speaker 1>the outer world. This is really the single reasonable way

1:05:33.960 --> 1:05:36.320
<v Speaker 1>to understand it, and in a sense, it's a little

1:05:36.360 --> 1:05:40.960
<v Speaker 1>strange that this is still rare in textbooks or in

1:05:41.120 --> 1:05:44.400
<v Speaker 1>common knowledge. And note that this process of trying to

1:05:44.640 --> 1:05:47.440
<v Speaker 1>predict signals applies not just to our perception of the

1:05:47.480 --> 1:05:51.640
<v Speaker 1>outside world, but to the swirling world inside our bodies

1:05:51.680 --> 1:05:56.240
<v Speaker 1>as well, which sheds light on how we experience emotions

1:05:56.280 --> 1:06:00.560
<v Speaker 1>and maintain homeostasis. In this way, the self is not

1:06:00.600 --> 1:06:04.640
<v Speaker 1>a fixed entity, but an ever changing construct. And one

1:06:04.680 --> 1:06:07.800
<v Speaker 1>of the other themes that emerge today is that each

1:06:07.840 --> 1:06:11.600
<v Speaker 1>of us carries around a slightly different version of reality,

1:06:12.080 --> 1:06:16.040
<v Speaker 1>shaped by our biology and our experiences. This is a

1:06:16.080 --> 1:06:21.080
<v Speaker 1>reminder of how subjective and varied human experience can be,

1:06:21.720 --> 1:06:24.600
<v Speaker 1>and how much we still have to learn about the

1:06:24.680 --> 1:06:30.000
<v Speaker 1>minds of others. That includes other humans and animals, and

1:06:30.120 --> 1:06:35.080
<v Speaker 1>possibly at some point ai are we overestimating the sentience

1:06:35.120 --> 1:06:40.280
<v Speaker 1>of machines or underestimating that of animals. So, in closing,

1:06:40.400 --> 1:06:44.840
<v Speaker 1>as Annel mentioned, just as we once demystified the life itself,

1:06:44.920 --> 1:06:48.360
<v Speaker 1>step by step through the patient work of science, we

1:06:48.440 --> 1:06:53.280
<v Speaker 1>may one day come to understand consciousness in a similar manner.

1:06:53.760 --> 1:06:56.680
<v Speaker 1>The key, as it is so often in science, is

1:06:56.720 --> 1:07:00.560
<v Speaker 1>not just about answering the big question, but can continually

1:07:00.640 --> 1:07:07.680
<v Speaker 1>asking smaller, better ones. Go to Eagleman dot com slash

1:07:07.720 --> 1:07:10.800
<v Speaker 1>podcast for more information and to find further reading.

1:07:11.560 --> 1:07:12.160
<v Speaker 2>Send me an.

1:07:12.040 --> 1:07:15.040
<v Speaker 5>Email at podcasts at eagleman dot com with questions or

1:07:15.080 --> 1:07:19.200
<v Speaker 5>discussion and check out Subscribe to Inner Cosmos on YouTube

1:07:19.240 --> 1:07:22.600
<v Speaker 5>for videos of each episode and to leave comments.

1:07:24.280 --> 1:07:25.040
<v Speaker 2>Until next time.

1:07:25.160 --> 1:07:29.840
<v Speaker 1>I'm David Eagleman and this is Inner Cosmos.