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This is the Convergent Science Network podcast. All right, we're running.

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Leading researchers in the domain of neuroscience, brain theory and technology

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are interviewed by Paul Verschure and Tony Prescott.

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This is Paul Verschure for the Convergent Science Network podcast,

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together with my colleague Tony Prescott.

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And we're here at our BCBT Summer School of 2015 with Ranulfo Romo.

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Ranulfo, you came here from Mexico to share with us your incredible work and

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also this long tradition of work that you've been engaged in and understanding

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decision-making in the brain.

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So what's so special about decision-making?

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I think decision-making is the crown of brain function because sooner or later

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you have to make a decision whether it's conscious or whether it's unconscious.

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Habits, I think, for example, require decision-making.

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They probably are below our conscience. When I walk in some way,

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I have an apparatus in my spinal cord together in concert with my brain,

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allows me to move, I don't have to be very conscious.

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But from time to time, I'm conscious of where I'm going and what direction,

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where my steps are, etc., etc.

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But there are decisions. I think we are talking about decision-making in the

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way in which we can think about.

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For example, if my girlfriends ask me to marry, I can reflexively say, yes.

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I can say, listen, why don't we talk in a week?

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Or, for example, in a month, I have a friend that has delayed a decision for eight years.

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No kidding. But now you have actually looked at this problem of decision-making

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with respect to marriage in a much more compressed way, in a much more controlled way.

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You reduce it down to somatosensory decision-making, where you really have to

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combine signals from different modalities and sort of extract a meaning from

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them relative to your goals and then act accordingly.

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Okay, so why did you choose somatosensory decision-making?

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For various reasons. The first one is because I was trained in a very long tradition,

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coming from Philip Barr at Johns Hopkins in the 1920s of the past century,

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and then continued by Vernon Mountcastle.

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And third, because, believe me or not, but the reward signals were discovered

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using somatosensory signals in Freiburg with Wolfram Schultz.

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And then, trying to think about, I discovered that behind this there was a fundamental

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problem, at least for me in that time when I was young with the Bernoull-Montcastle,

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the representational problem.

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One question is how the brain represents, brain cells represent sensory inputs,

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no matter what is the sensory modality.

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Somehow, you have to generate a neural copy of the external world.

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You don't feel with your fingertips. You don't see with your eyes.

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You don't hear with your ear. You do all these sensory functions with your brain, and the question is,

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well, how does the brain manage to generate a representation of the external world?

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Just to begin, as a prelude to decision-making, perceptual decision-making.

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So then, the question is, once you start to generate sensory representations.

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You are training your network in such a way you generate experience.

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And when you generate that, you treat sensory inputs in a different way than

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if you were a naive organism.

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When you have that, you have to think about what is experience,

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which is memory, whatever you label it, whether long-term or short-term memory.

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So the question is, how do we store sensory input information in our brain that makes what we are?

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So that's one of my general questions. So at the end, we want to understand how these big problems,

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sensory representations and internal representation combine together to generate

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perceptual decision-making.

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But you can have only perception decisions alone with little experience if you

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were a very low organism animal.

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Or you can make, in your case, you use your internal experience in order to

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make decisions. You don't need sensory input sometimes.

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But now when I might move my eyes, right, to have a differential response to

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stimuli in the world, I might push a button, or I might decide to get married eight years from now.

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So these are all forms of decisions. So do you think that decisions in that

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sense are hierarchically structured, or are they really situated at a specific

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level in, let's say, a hierarchy of perceptual cognitive operations?

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If you are an eclectic man, you have to think that it happens all around us.

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It can be a hierarchical processing, different situation.

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And I think what is important in our brain functioning is that we depend a lot on context.

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So our brain adapts to the context every time.

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Context situations in such a way that one decision at this moment can be,

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Even if it's exactly the same, the same operation in another context,

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it's what's going on. We are context dependent.

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We are no more than that, I think.

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But then, so if we put it so broadly,

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so now it's decision making is very much helping us to transform,

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let's say, sensory states into an action in the service of our goals.

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So, what we have to bring together is sensory states, our motivations and goals,

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and our action repertoire in the end to produce this one output that will drive

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our skeletal muscle system.

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And given that we only have one skeletal muscle system, it better be one action.

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So, there's this funnel we have to go through to get sensory states into action.

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And this funnel is modulated by different things, goals, memory, actions.

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Yes. But now, at the beginning of this funnel stands the sensory process.

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And there, what I found interesting, in some sense, you take a very extreme perspective,

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in my opinion, on sensory processing as really insisting that a primary sensory

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area is really primary in the sense that it's uniquely dedicated to the modality

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that the thalamus dictates to it.

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So you really believe that to be the case? I do believe. and and uh.

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It's not that I believe, I think, because it depends on hypothesis and results

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and interpretation and challenging that hypothesis.

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In fact, I cannot say that I have lost more than 10 years doing experiments

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in order not to convince myself, because no matter what is the result, it's fine to me.

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For example, in one stream, many colleagues say that early sensory cortices,

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the earliest stage of processing in our cerebral cortex, is multimodal.

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In the other stream, which is almost a dogma, is that early sensory cortices are unimodal.

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They have only one capacity to process, only one modality.

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Just, let's say, visual cortex is visual cortex because it does receive an input

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coming from the retina going through the thalamus, and the thalamus dictates

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that territory to be visual.

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And for the auditory cortex, exactly the same, and for the somatosensory cortex.

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But there, in science, it's very important to insist and to challenge dogma,

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even if we lose time, In the sense that we lose money,

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we invest many hours in something that does not produce something positive,

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a positive result.

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It might be a negative one, but it's very important in order to allow hypothesis

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or interpretation of something, a fact, that is true or not true.

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So, in fact, over the last 10 years, I've been insisting and trying to document

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whether unimodal, whether multimodal, at the moment it wins unimodal.

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So, what was the key piece of data that convinced you that it was unimodal?

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I'm relying on a very simple signal that I think comes from the Cajal tradition.

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The neural doctrine in the sense that neurons

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that the brain is made of pieces of individual

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neurons that are connected together by a tiny space called synapses and that

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all the territories of our brain at least for the sensory and perceptive territories

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and dictated by our sensory lamina let's say for For example,

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somatosensory cortex is somatosensory

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because it's connected to our receptors in our skin, our body,

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in such a way that our brain makes a map of our body surface.

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And the visual cortex is visual because it's very reliant to the retina in such

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a way that the retina can be mapped out in that part of the cerebral cortex.

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And the same for the auditory cortex.

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So, in the beginning, in the mid-19th century, there was a big effort by physicists in Germany,

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Helmholtz, something that started to set out the basis of the action potential.

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That there was a transmission of signal from the skin up to the brain.

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And they were able, in the beginning of the 1920s or something like that, the English school,

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to discover the basis of the transmission.

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That the signal that uses our brain is a signal, signals.

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And Cajal had already settled out the neural doctrine.

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So I'm using a very tiny signal from this old tradition in order to map out

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the responsive properties of brain cells.

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Not only responsive properties, but once the stimulus is gone,

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something in our brain is working at this moment, and in fact I'm talking about, out.

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It's internally generated by my brain.

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You're looking at the S1 cortex particularly, and there are other somatosensory areas.

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Have you looked into those too to see whether there would be multimodal cells there?

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Because there are other projections, certainly I would know in the rat,

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where the sensory input comes in from the periphery, but may mix in in primarily

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sensory areas, perhaps more cross-modally.

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It was clear to me for about 30 years when I was working with Wolfram Schulz, a very dear colleague,

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that in order to understand the function in our brain, we have to go across cortical areas.

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So, when I started to work out in Mexico City,

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I decided to use exactly the same input and see the transformation across the

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system, which is something very important.

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It's like, for example, if I tell you something.

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You interpret it, and then you tell something to Paul, not in front of me,

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and then Paul tells to some others, something like that.

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It's like I'm passing to you directly the information, and then you treat this

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information in a different way and pass that information to Paul.

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But Paul never spoke to me.

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So it's more or less what's going on in the brain. It's a metaphor that is like

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in Spanish, which is chismoso.

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It's not a liar, but what Paul interprets from me is through you.

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It's what I'm trying to do myself across the brain,

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trying to understand what kind of representation receives a very downstream

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area outside the sensory representation,

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for example.

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Something like that. So I think that's the major contribution of my work,

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going in this direction, in which it tries to see what's going on across the brain.

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Because I think, at the end, what Paul says is the true representation for Paul.

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And when you say your true representation,

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and not necessarily exactly the same, I share with myself too.

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So I understand you're trying to do a very pure experiment.

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You're going to try to simplify it as much as you can to get at this basic process of decision-making.

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But the criticism that I guess people can make, and you already said this in

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your lecture, is that this isn't what happens in daily life.

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So much of the time, the stimuli coming from multiple modalities that are telling

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us similar information and it pays greatly to pay attention to them together.

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And also, even in the touch system, which you're describing,

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most of the time we are actively controlling the way that, for instance,

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the fingertip is moving on a surface.

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And that's going to have a huge impact on how we process that signal upstream.

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So when you're in your experiment, you essentially stimulate a passive,

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the fingertip is a passive receptor surface perhaps

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you're missing something about what

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was more common for the for the that sensory

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system to be doing which is to be actively controlled in

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finding useful information so the information is being given here there's no

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sense that i have to look it out well you're right and you're not right as always

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first yes i'm dealing with basically with the touch system and use it as a model of.

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Processing, because the general question is how a sensory representation, unimodal as you like.

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Is transformed up to Paul or something like that, and produce a function,

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which is a very complex issue.

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The second issue is, and you raise, which is very good, is that a criticism

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is very welcome. It's a passively delivered stimulus.

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And normally, for example, I am squeezing my fingers across the surface in order to get information.

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But that's the way science works. We would like to have an experiment in natural

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condition, but this is almost impossible because it's very difficult to control our variables.

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And you can dribbly, grongly in some direction because there are many cues,

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many things that must take you in a very different direction.

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And myself, I had decided to control as much as I can where I deliver the stimulus.

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Exactly the same as the people work in the visual system.

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What people in the visual system do is very simple. Normally,

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we are moving the eyes, but we have to bring the fovea in a given moment to deliver the steam.

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Otherwise, it can be in different ways and make sense of sensory processing.

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Visual processing will be very difficult.

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So that is a decision that I made because I made it.

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Of course, I can be wrong, but it provided some pieces of evidence.

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Of course, it's not telling to you how the sensory motor loop works. I do not pretend it.

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I do not pretend even to show intentionality from the active point of view.

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Because if I want my wish, which I do not know what is a wish.

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For example, my desire to do something, where does it come?

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I do not know. But eventually, if you know, you can move your hand,

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you can move your finger, you can walk, you can think about something like that,

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and then use your senses actively.

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So in my case, I do not pretend to do that.

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I tend to do it in the opposite way.

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I just simply want to see in a very, in Spanish, which is a castiza way,

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how a sensory input is represented by brain cells and bring a big network of

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our brain to thinking and deciding and using,

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if you like, the motor apparatus afterward. word.

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In other words, I'm very interested to know how is, what is.

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Behind a decision report. So let's say we convince Tony, okay,

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and the sensory stimulus is sort of ecologically valid,

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and we can discuss details of that later, then the real decision-making doesn't

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take place at that stage.

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The real decision-making takes place in areas that are sort of in frontal areas of the neocortex.

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Cortex um so what kind of network now

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gets engaged so here i have my two stimuli they might be frequency modulated

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in some way my primary visual cell metasensory areas are responding they're

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now transducing this stimulus to a prefrontal network that's going to make the

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decision so what's happening there what's going to happen in this is a very

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important question because at the end.

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Thinking early in the morning when I am alone in the dark, my dark room, or I close.

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And the other day I was thinking about what is the point of this?

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Of course, I many years ago discovered that I was not a somatosensory man.

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As the people say, I'm a visual man. I'm not visual. I'm using a model to understand something.

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So at the end, I can simplify my thinking about this.

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For example, your organism, we,

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and animals, even the lowest animal, you need to map out something which is

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happening in the external world, transform energies in something.

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And the current money to transmit something is the action potential, electrical signals.

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But there had to be receptive areas, even if in the lower levels,

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that very quickly take these signals and then do a response.

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Those are very fast systems, even the sensory ones that go up to the cerebral cortex in ourselves.

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So that takes 25 milliseconds in the somatosensory system.

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And if you think about the spinal cord, it's 10 milliseconds.

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That's exactly what happened in a war.

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But fast, and then fast responses from the motor side. You have to do bah!

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In our cases, it can be, you can treat the signals and store it in some way.

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Those are slow systems. The working memory ones, for example,

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allow you to think about. And...

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So there, those are very slow systems that depend on some other kind of transmissions,

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molecules differently to the ones associated to sensory and motor output systems.

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And there are the dopamine system, cholinergic, noradrenergic,

00:22:08.398 --> 00:22:10.118
serotonergic, or something like that.

00:22:10.118 --> 00:22:18.938
That not special cells, but are localized in such a way that can add something

00:22:18.938 --> 00:22:23.818
to this fast transmission and more or less slow transmission.

00:22:24.098 --> 00:22:25.878
So at the end, you have a trio there.

00:22:26.798 --> 00:22:31.238
Fast sensory input, fast motor output, and something in between.

00:22:31.698 --> 00:22:35.718
And you can put many things, memory, motivation, motivation,

00:22:35.838 --> 00:22:40.598
decision-making, subjectivity, and something like that.

00:22:40.698 --> 00:22:45.698
And when something is a mess out of this, then you have frustration,

00:22:45.878 --> 00:22:50.598
you have psychiatric problems, memory problems, et cetera, et cetera.

00:22:51.738 --> 00:22:58.078
But I can put in troubles. If I cut the sensory inputs, the rest doesn't work.

00:22:58.218 --> 00:23:00.218
If I cut the motor output, too.

00:23:00.378 --> 00:23:05.958
So there is something in between, extremely important. And that's the one I

00:23:05.958 --> 00:23:07.258
want to understand myself.

00:23:07.818 --> 00:23:14.118
But now, do you see this as one monolithic system that always converges onto

00:23:14.118 --> 00:23:19.358
then the same decision, evaluating the same information, or do you see this

00:23:19.358 --> 00:23:21.478
as competing subsystems?

00:23:21.698 --> 00:23:28.358
Absolutely, I think. For example, if I were a Martian, if I go and see Paul

00:23:28.358 --> 00:23:35.618
lying in the bed, if I were a neurologist, I would say it has some other problem.

00:23:35.958 --> 00:23:40.358
But eventually, you are in depression.

00:23:40.958 --> 00:23:44.118
You don't want to move. I call you, Paul.

00:23:44.618 --> 00:23:48.558
Paul, good morning. And you don't move. And I can say, well,

00:23:48.778 --> 00:23:53.718
it's a sensory deficit. Or secondly, you don't move, it's a motor deficit,

00:23:53.978 --> 00:23:58.978
but simple, you are out, you don't want to hear, you don't want to move.

00:23:59.318 --> 00:24:03.458
Those are the systems who are in troubles in between.

00:24:03.898 --> 00:24:10.298
A Parkinsonian person, for example, I'm sorry if I use this,

00:24:10.438 --> 00:24:18.818
but if Miss Universe crosses in the field it doesn't move it doesn't care.

00:24:20.118 --> 00:24:25.038
Something because it doesn't care probably the sensory input is there.

00:24:27.516 --> 00:24:33.856
There is no more motivation. There is no, there is nothing. It's an empty brain.

00:24:35.156 --> 00:24:40.856
So now we have the decision-making system, or however we want to call it,

00:24:40.896 --> 00:24:43.716
because maybe this is now more than just a decision-making system, right?

00:24:43.756 --> 00:24:48.136
We have a perceptual system with the motor system, and then there's the something in between.

00:24:48.716 --> 00:24:52.136
We're going to call that the decision-making system, or we're going to give it a different name?

00:24:52.356 --> 00:24:59.016
No, I think it's just, Because whatever you do in life is always decision-making.

00:24:59.196 --> 00:25:06.596
But decision-making needs to be expressed through a voluntary action. It's not a reflex.

00:25:08.216 --> 00:25:12.396
So, for example, you do not move. You can think about.

00:25:14.356 --> 00:25:18.556
You can even, we have a paper called postpone decision.

00:25:18.556 --> 00:25:25.416
For example, when you go to a bar or restaurant and the waiter comes to you

00:25:25.416 --> 00:25:29.656
and gives you the menu, and you say, I don't know whether to take this or that.

00:25:29.996 --> 00:25:34.096
Then comes the waiter in a minute and says, have you decided?

00:25:35.216 --> 00:25:40.476
Give me a minute, normally we say. And then, finally, you are under pressure

00:25:40.476 --> 00:25:43.456
and come the waiter, have you decided? And you decide.

00:25:43.516 --> 00:25:47.196
And then when the waiter goes, you say, why did I decide this?

00:25:47.196 --> 00:25:50.776
You know, so decision-making is something like that.

00:25:51.276 --> 00:25:57.196
When you are allowed to make a pos- a postponed decision, which is always I

00:25:57.196 --> 00:26:02.976
do myself, and it's called post-crastination, which is, um,

00:26:03.616 --> 00:26:10.016
um, a true mental problem that I have myself, for example, I do receive an email

00:26:10.016 --> 00:26:15.236
and I know what is my decision, but I postpone it for, I will do it tomorrow.

00:26:16.327 --> 00:26:20.627
And when tomorrow comes, I say, I will do it tomorrow. And at the end,

00:26:20.707 --> 00:26:22.867
I say to myself, what's going on with me?

00:26:22.927 --> 00:26:25.647
I have to make a decision. My decision was made before.

00:26:25.967 --> 00:26:30.907
I don't know what that. There is a colleague in Israel which is doing a modeling

00:26:30.907 --> 00:26:32.947
about this. It's a fantastic work.

00:26:33.187 --> 00:26:41.847
And I think there are some mental diseases which are not taken by certain in the society.

00:26:42.187 --> 00:26:47.827
But I have that problem myself. It's proscultination, not now, that.

00:26:48.187 --> 00:26:54.767
Right. And as we do have many memory problems, which are perfectly adaptable

00:26:54.767 --> 00:27:01.267
to what people can think is normal, but it's not normal if you make a simple test. Right.

00:27:01.807 --> 00:27:07.687
So, well, I'm quite a specialist myself in procrastination. You're not alone, I can assure you.

00:27:07.947 --> 00:27:12.547
But now, so, okay, we have the sensory signals. They are sort of,

00:27:12.547 --> 00:27:16.907
we have strongly stimulus-locked responses in the sensory areas.

00:27:17.127 --> 00:27:24.387
They converge over a number of steps into a premotor area like PMC.

00:27:24.447 --> 00:27:27.207
You pointed to a number of areas.

00:27:27.627 --> 00:27:32.427
So is this information reaching that area simultaneously?

00:27:32.627 --> 00:27:35.667
Is there any kind of coordination across these signals?

00:27:36.367 --> 00:27:44.047
Let's say primary somatosensory area is just in distance closer to frontal areas,

00:27:44.167 --> 00:27:46.887
PMC, as might be a visual signal.

00:27:47.187 --> 00:27:53.867
So do these areas care at all about latency matching of these areas that project to them? Of course.

00:27:54.367 --> 00:28:02.907
For example, the sensory input, which you can quantify in the stimulus parameters

00:28:02.907 --> 00:28:07.107
there, takes about 25 milliseconds, the beginning.

00:28:07.987 --> 00:28:13.187
You can have a very faithful representation of, at least for this stimulus.

00:28:13.187 --> 00:28:23.827
When you go to the frontal lobe areas that treat the stimulus in a different way, but this is...

00:28:25.608 --> 00:28:30.228
You can directly decode the information there. It's about 180 milliseconds.

00:28:30.948 --> 00:28:39.548
So there is a time, a delay time, between that sensor representation and what you see there.

00:28:40.048 --> 00:28:46.828
Of course, if you fill the gap between the two, you can find out some areas,

00:28:46.948 --> 00:28:51.568
60 milliseconds, 100 milliseconds or something, which is a time.

00:28:52.668 --> 00:28:55.888
And I don't know why. Why? Why it is not directly, for example,

00:28:55.888 --> 00:29:00.468
from the skin to the MPC, to the frontal lobe. It needs to be treated.

00:29:01.488 --> 00:29:07.748
And that reminds me Benjamin Leavitt, who was very much engaged in trying to

00:29:07.748 --> 00:29:12.208
understand the time it takes to make conscious something.

00:29:13.308 --> 00:29:19.128
A sensory input, for example. He always referred to about 500 milliseconds in men.

00:29:20.008 --> 00:29:26.548
But his techniques were not perfect at the time. It probably is about 200 milliseconds.

00:29:26.708 --> 00:29:31.608
No matter what is the sensory input I have spoken with people working in the auditory system,

00:29:31.808 --> 00:29:36.328
in decision-making in the visual system, some of the sensory system in my case,

00:29:36.448 --> 00:29:43.048
it takes about a signal which is consistent with the period in which you make

00:29:43.048 --> 00:29:46.548
the decision, which is about 180, 200 milliseconds.

00:29:46.548 --> 00:29:53.188
But that's, in Libet's case, he's talking about the conscious awareness of the decision.

00:29:53.608 --> 00:29:58.008
So you believe that for the monkey, it's a comparable kind of process.

00:29:58.588 --> 00:30:03.008
There may be some differences in the timing. Sure, but qualitatively,

00:30:03.008 --> 00:30:05.588
it would play out in the same way that we would have.

00:30:05.808 --> 00:30:11.508
I do think so. Okay. Yes. Of course. So now we have, so your opinion,

00:30:11.568 --> 00:30:17.488
the decision-making we're talking about, just to sort of finish up the Libet aspect,

00:30:17.988 --> 00:30:23.128
also decision-making is always engaging conscious awareness.

00:30:23.848 --> 00:30:28.088
Not necessarily. Okay. For example, when you drive your car.

00:30:29.308 --> 00:30:36.428
You may be aware once you make the decision, you know, but in other cases,

00:30:36.628 --> 00:30:42.888
if you give me time, which is not always possible because you have,

00:30:43.048 --> 00:30:45.908
it depends, it's a very adaptable operation.

00:30:45.908 --> 00:30:52.568
It depends on the time constraints and what beneficial is to make a decision,

00:30:52.848 --> 00:30:57.128
whether you need to think about or whether you have to make a decision.

00:30:57.568 --> 00:31:03.768
Not in a very reflexive way, because you have brain circuits that allow you

00:31:03.768 --> 00:31:09.728
to think about below your conscious awareness.

00:31:10.268 --> 00:31:17.848
Sometimes you are conscious on that, and then you say, why did I do that? Oh, I did quite well.

00:31:18.608 --> 00:31:22.708
Your experiment is a little bit unusual in that respect, because you have something

00:31:22.708 --> 00:31:28.628
which is highly practiced, but at the same time is always intrinsically unpredictable,

00:31:29.008 --> 00:31:31.188
because you don't know what the next stimulus is going to be,

00:31:31.208 --> 00:31:33.108
but you know it's going to be one of two things.

00:31:33.788 --> 00:31:40.968
So you have something there, I guess you would say, why you cannot use a habit

00:31:40.968 --> 00:31:44.548
system because you always have to make a choice. Yes.

00:31:44.968 --> 00:31:47.168
And therefore, it would come into consciousness.

00:31:47.728 --> 00:31:52.788
It was made by purpose from the beginning. I thought a lot about this because

00:31:52.788 --> 00:31:56.968
I was trained by a very incredible man,

00:31:57.228 --> 00:32:05.088
Vernon Mountcastle, who laid out many of the ideas we use right now, believe me or not.

00:32:05.088 --> 00:32:09.808
And when I was working with him, in some way we treated this problem,

00:32:09.888 --> 00:32:16.048
and I discovered that he was doing, at least from my perspective, in a wrong way.

00:32:17.272 --> 00:32:21.992
Of course, he had, I thought about him, had more flexibility.

00:32:22.952 --> 00:32:28.432
Because he was older than me, I was eager. So everything was left.

00:32:28.872 --> 00:32:33.732
And then when I went back to Mexico, I said, why didn't it work? And I discovered why.

00:32:34.412 --> 00:32:41.832
So I made by purpose, in which in a very artificial way, I could recreate the different steps.

00:32:41.832 --> 00:32:47.172
Steps, you know, one without being contaminated by the next one,

00:32:47.352 --> 00:32:53.512
but being sure that to pass from one to two, you have to go through this step.

00:32:53.692 --> 00:32:58.012
Otherwise, you will be wrong at the end with simply guessing.

00:32:58.372 --> 00:33:02.652
So it's very, if you like, it's artificial, but everything is artificial,

00:33:02.932 --> 00:33:09.412
even CERN in Geneva, in order to prove the molecule, God molecule.

00:33:09.832 --> 00:33:17.972
So it's made by purpose. But I had to make clear that we had to have both inputs,

00:33:18.252 --> 00:33:22.292
a central input, an output, and then be combined.

00:33:22.632 --> 00:33:28.892
And I had to be able to look at both, not in a very different way,

00:33:29.012 --> 00:33:30.772
just simple, hard to capacity,

00:33:31.072 --> 00:33:37.812
with a very simple statistical technique coming from engineering and physics,

00:33:37.912 --> 00:33:41.612
just to the code and have them both in my hands.

00:33:41.832 --> 00:33:47.272
So it's a very peculiar way of doing science.

00:33:47.512 --> 00:33:51.092
A very simple way is pedestrian, frankly.

00:33:52.292 --> 00:34:00.852
But now, so what you found is that neurons in MPC, if you look at how these

00:34:00.852 --> 00:34:02.812
neurons respond to the task properties.

00:34:03.092 --> 00:34:08.852
Now, in this case, we have these frequency-modulated visual or tactile stimulation,

00:34:09.172 --> 00:34:15.592
and now dependent on the frequency and the difference, like before the waiting

00:34:15.592 --> 00:34:20.992
period and after the waiting period, the monkey has to choose for one action or the other.

00:34:21.312 --> 00:34:25.992
So what you show, however, is in this waiting period of up to three seconds,

00:34:26.292 --> 00:34:28.052
something very peculiar happens.

00:34:28.192 --> 00:34:34.272
And that it looks like the response of these neurons sort of also at the offset

00:34:34.272 --> 00:34:40.152
of the the first stimulus pair, they slowly ramp up their activity or exceed it, might vary,

00:34:40.872 --> 00:34:46.392
but still reflecting the key feature that should inform this decision, which is frequency.

00:34:47.612 --> 00:34:50.832
Okay. So, but why would that be a ramping activity?

00:34:51.132 --> 00:34:56.132
Why don't you just latch on to a certain representation of that frequency and

00:34:56.132 --> 00:34:58.152
just keep it there? What's the ramping all about?

00:34:58.332 --> 00:35:04.012
Let me say something that somebody today asked me about, he was posing to me

00:35:04.012 --> 00:35:05.152
a philosophical question.

00:35:05.512 --> 00:35:12.912
I admire Democritus, but recently I discovered Epicurus.

00:35:14.140 --> 00:35:20.240
Epicurus precedes Democritus in the ideas that there has to be a representation

00:35:20.240 --> 00:35:22.100
of something in the brain.

00:35:23.500 --> 00:35:30.740
Democritus was talking about molecules, atoms, that everything in our external

00:35:30.740 --> 00:35:37.200
world was made by atoms that entered through our eyes, our ears, our fingers.

00:35:37.540 --> 00:35:41.600
And these atoms move up to the brain.

00:35:41.600 --> 00:35:48.060
He said that, and in the brain, these molecules gather together and give an

00:35:48.060 --> 00:35:53.180
iso, in the case of the form, an object, they generate the form.

00:35:53.560 --> 00:35:59.140
And that that representation was important for learning, memory,

00:35:59.420 --> 00:36:02.340
voluntary action, and decision making.

00:36:02.940 --> 00:36:08.500
Democritus said that 200 and 300 years ago, 2,300 years ago.

00:36:08.500 --> 00:36:13.500
So, if you like, I'm a continuator of Democritus.

00:36:14.720 --> 00:36:19.920
So, if you like, the atoms are the action potential right now in the modern view.

00:36:20.460 --> 00:36:27.940
And those action potentials are how cells generate electrical signals, tiny electric.

00:36:28.220 --> 00:36:33.520
If you put together, you can generate the form of an image.

00:36:33.520 --> 00:36:43.840
In fact, Otto Creufield used this idea to study the form of visual inputs in

00:36:43.840 --> 00:36:45.200
the visual cortex in the cat.

00:36:46.480 --> 00:36:50.660
Myself, I'm using a more simple stimulus, vibration in the fingers,

00:36:50.860 --> 00:36:55.460
and you can see that it's not isomorphic.

00:36:55.520 --> 00:37:03.320
This is isometric representation. So I wanted to have something that I can see

00:37:03.320 --> 00:37:05.100
directly from the spikes.

00:37:05.480 --> 00:37:13.720
And the idea is, to me, the AC test was, what is left when the stimulus is gone?

00:37:14.600 --> 00:37:17.760
And I wanted to find out that.

00:37:17.920 --> 00:37:23.300
And with very simple statistical methods, we see that the stimulus parameter is there.

00:37:23.300 --> 00:37:28.840
Of course, neurons are like humans, have different ways of representing,

00:37:29.000 --> 00:37:35.200
but at the end it's exactly the same neural code, a parametric code, in different times.

00:37:35.520 --> 00:37:40.020
And I want to believe that neurons, thousands of neurons, millions of neurons,

00:37:40.080 --> 00:37:43.400
gather effort in order to represent something.

00:37:44.380 --> 00:37:49.440
And this is what is shown. Sorry, so what is Epicurus that's different from

00:37:49.440 --> 00:37:54.320
Democritus? No, it's the way, no, Epicurus added something.

00:37:55.180 --> 00:38:04.440
Democritus was more from the physical side, like a journalistic person would think right now.

00:38:04.840 --> 00:38:11.220
As, for example, very often the students say, what do you think of this paper, I always say.

00:38:12.385 --> 00:38:16.425
Well, this paper is not very good because it's very qualitative.

00:38:17.505 --> 00:38:22.945
And I always tell them, listen, if somebody is able to show qualitative properties

00:38:22.945 --> 00:38:25.105
of something, it's because he solved everything.

00:38:25.885 --> 00:38:29.385
Because they always criticize. It's not very quantitative.

00:38:29.905 --> 00:38:37.825
So, what Epicurus added is precisely the other, the qualitative thing.

00:38:37.885 --> 00:38:39.265
He thought about that.

00:38:40.005 --> 00:38:46.425
For what for is that? For example, many years when I discovered that isometric

00:38:46.425 --> 00:38:50.405
representation of the stimulus, I wanted to know whether it served for something,

00:38:50.705 --> 00:38:54.445
whether it was an artifact. So I did the reverse experiment.

00:38:54.745 --> 00:38:58.425
I activated artificially brain cells.

00:38:58.645 --> 00:39:04.725
And what happens is that the monkey or the subject had the capacity to generate

00:39:04.725 --> 00:39:11.945
something which is very consistent with what I observed with the natural steam.

00:39:12.145 --> 00:39:21.005
So there was a very causal confirmation that that representation was useful for decision-making.

00:39:22.545 --> 00:39:27.165
But now, so we have this slowly ramping activity.

00:39:28.305 --> 00:39:33.765
And for you, the key point here is that what these neurons do is sort of they

00:39:33.765 --> 00:39:37.645
throw away information that really doesn't matter for the decision making.

00:39:37.825 --> 00:39:42.245
And they conserve the information that is sort of modality independent and relevant,

00:39:42.485 --> 00:39:45.405
which in this case is the frequency of the modulation. Right?

00:39:45.805 --> 00:39:54.745
So how does that process play out? So here we have two, we have an auditory and a tactile stimulus.

00:39:55.005 --> 00:39:59.045
They might have a different kind of frequency response, right?

00:39:59.565 --> 00:40:04.025
Converging on any of these frontal areas. And now during the,

00:40:04.185 --> 00:40:09.985
what you showed, which is interesting, is that during the wait period where the stimulus is gone.

00:40:11.085 --> 00:40:16.565
The system, these frontal areas that you investigated are still modulating that signal.

00:40:16.565 --> 00:40:22.485
Is it only this sort of frequency-specific response starts to emerge,

00:40:22.905 --> 00:40:27.885
is most pronounced towards the end of the waiting period, just before the decision is made?

00:40:28.205 --> 00:40:34.825
So how do you see this incremental sharpening of the task-relevant information in the response?

00:40:35.445 --> 00:40:42.745
This is science. We have no answer for everything, but it's a fact that happens there.

00:40:43.005 --> 00:40:45.925
And once you have it, then you can think about it.

00:40:46.565 --> 00:40:52.725
The first thing which strikes me is that this is the way that happens in the brain.

00:40:52.845 --> 00:41:01.105
Secondly, I'm very impressed that for that cells in a very downstream area,

00:41:01.245 --> 00:41:04.945
far away from the sensory representation, um.

00:41:07.623 --> 00:41:11.023
Do that, have that neural code in that moment.

00:41:11.283 --> 00:41:16.423
And so it might tell you something fundamental about that.

00:41:16.823 --> 00:41:25.443
So the question is here, is that you are thinking about underrepresentation

00:41:25.443 --> 00:41:31.683
on a stimulus parameter for different modalities in the same way.

00:41:31.903 --> 00:41:36.963
It's an abstract, it's a supramodal, a modal if you like, but it's there.

00:41:37.623 --> 00:41:42.623
What is the strike the most to me? So we can think right now in models,

00:41:42.903 --> 00:41:50.443
in one stream trying to model and implement model and think about and do experiments

00:41:50.443 --> 00:41:56.903
in order to find out the biophysical basis and the architecture,

00:41:57.223 --> 00:41:59.163
neural architecture, which is there.

00:41:59.163 --> 00:42:02.403
There, no doubt that, and makes this.

00:42:02.543 --> 00:42:06.583
To me, the most important contribution of this,

00:42:06.823 --> 00:42:13.663
I'm trying to think that my work has something worth in life,

00:42:13.823 --> 00:42:24.183
is that I think we were the first to show in the tactile modality a way our

00:42:24.183 --> 00:42:28.103
brain cells store, represent information during working memory.

00:42:28.103 --> 00:42:34.983
Because in the case of my colleague, Goldman Rakeesh, it was always contaminated by eye movements.

00:42:37.343 --> 00:42:43.863
And, but it's a very, the physical space, if we want to think, is there, is there.

00:42:44.263 --> 00:42:46.723
But in our case, it's something learned.

00:42:48.163 --> 00:42:54.283
It's something, play cells are there. But the monkeys don't have to think about vibrotactile.

00:42:54.383 --> 00:42:57.323
Why? or by acoustic repetition.

00:42:58.900 --> 00:43:03.780
It's exactly the same when you go, you study medicine, your brain is not made

00:43:03.780 --> 00:43:06.640
to do medicine or engineering.

00:43:06.960 --> 00:43:11.520
You have to be trained. So this is something forged by experience,

00:43:11.960 --> 00:43:18.320
which means that your brain circuits can be modified by experience,

00:43:18.880 --> 00:43:24.740
can store information, experience, and can use it for the best or for the worst.

00:43:25.240 --> 00:43:28.960
That's, to me, the contribution. vision. But now in your analysis,

00:43:29.220 --> 00:43:32.900
you look at these cells as being either unimodal. So we look at PMC,

00:43:33.020 --> 00:43:33.820
right? The frontal area.

00:43:34.200 --> 00:43:38.780
You looked at whether these neurons were tuned unimodal or bimodal, right?

00:43:39.120 --> 00:43:42.480
And then what we see is that over the three seconds, initially,

00:43:42.560 --> 00:43:45.980
actually, they're not that strongly committed to anything.

00:43:46.440 --> 00:43:50.400
And in the end, we see a very strong, what you call bimodal response.

00:43:50.680 --> 00:43:53.520
However, would it not be then more appropriate, actually,

00:43:53.580 --> 00:43:56.600
as you said said earlier to call it a modal yes because

00:43:56.600 --> 00:43:59.700
what they care about is just that bit let's

00:43:59.700 --> 00:44:03.060
say they care about the semantics of the task the frequency is

00:44:03.060 --> 00:44:07.320
telling you something important forget the rest which you would you be happy

00:44:07.320 --> 00:44:12.440
with that interpretation absolutely okay good in fact i i had a i spent a lot

00:44:12.440 --> 00:44:17.740
of time thinking about this to me it was the most simple paper in my life to

00:44:17.740 --> 00:44:19.920
report but when When I started to write,

00:44:20.140 --> 00:44:26.020
I was confronting literature that there was nothing.

00:44:26.720 --> 00:44:30.000
Or the people used to say they had already discovered.

00:44:30.240 --> 00:44:36.160
But how to say that? How to confront the community to tell them there is nothing?

00:44:36.860 --> 00:44:40.040
And how to say I'm a pioneer really in this?

00:44:40.260 --> 00:44:49.280
So at the end, I have to think about and be very polite, and sometimes say supramodal,

00:44:49.340 --> 00:44:54.140
and sometimes a modal, sometimes bimodal.

00:44:54.260 --> 00:44:56.340
But at the end, what happens?

00:44:57.920 --> 00:45:02.540
We discovered very few cells unimodal, and I think it's a statistical issue.

00:45:03.940 --> 00:45:09.480
The network is basically more than 85, almost 90% bimodal.

00:45:10.540 --> 00:45:13.720
And I've been thinking, you don't have to think about...

00:45:16.905 --> 00:45:21.105
The brain doesn't care when once, there are circuits that treat the stimulus

00:45:21.105 --> 00:45:26.065
parameter, but at the end is the goal, is to treat something.

00:45:26.265 --> 00:45:30.585
What is fundamental here is the frequency, and the cells don't care whether

00:45:30.585 --> 00:45:33.925
it's acoustic, whether it's tactile, or whether it's visual.

00:45:34.085 --> 00:45:38.785
I think this is very, very physiologic, very natural, this.

00:45:39.345 --> 00:45:46.345
Yeah, Tony, go ahead. Are you able to show that these neurons are getting their

00:45:46.345 --> 00:45:51.785
input directly from the unimodal cells and that they're integrating?

00:45:51.985 --> 00:45:58.305
Or could there be some other site of integration that's perhaps viewed more

00:45:58.305 --> 00:46:03.145
as a sensory area so that the integration happens sooner or elsewhere and you haven't seen that yet?

00:46:03.185 --> 00:46:07.745
These cells are very far away from the sensory input where you see the stimulus

00:46:07.745 --> 00:46:18.125
parameter. There are many areas in between, and you can see the gradual contribution of these areas.

00:46:18.525 --> 00:46:26.565
In this, what I show, I simply wanted to contrast input and what you get there.

00:46:26.745 --> 00:46:29.525
But in between, it's already done the experiments.

00:46:29.785 --> 00:46:35.145
I can tell you there is a gradual transformation. For example, circuits,

00:46:35.605 --> 00:46:41.305
neurons from circuits, which are in between this area and the sensory input,

00:46:41.545 --> 00:46:49.665
that treat the most the responses in the sensory input in the two ways, opposite way.

00:46:50.105 --> 00:46:56.445
They share correlated noise, which is something common thing,

00:46:56.765 --> 00:46:59.105
synaptic input, something like that. Right.

00:47:01.916 --> 00:47:05.436
Populations of neurons, we are only in the early components,

00:47:05.616 --> 00:47:07.516
some others which are more delay.

00:47:09.696 --> 00:47:16.296
Some ones, we respond the most during the second one, which is the right moment

00:47:16.296 --> 00:47:19.836
in which we have to combine two different modalities.

00:47:19.916 --> 00:47:23.516
For example, the first is acoustic that has to be stored in working memory,

00:47:23.616 --> 00:47:24.516
and the second is tactile.

00:47:24.516 --> 00:47:30.616
Somehow, there have to be some gears in your brain that shift gears in a very

00:47:30.616 --> 00:47:32.496
efficient way in order to compare,

00:47:32.696 --> 00:47:37.576
to treat in the same way to this different sensory input coming for different

00:47:37.576 --> 00:47:39.976
representation in your brain.

00:47:40.056 --> 00:47:47.476
So that requires tremendous, it's very simple, but to analytically,

00:47:47.756 --> 00:47:51.096
statistically to prove a modeling is another issue.

00:47:51.096 --> 00:47:55.256
So there's several steps on the path to the premotor cortex.

00:47:55.456 --> 00:48:01.036
What about signals coming back? Are there signals from PMC which could be modulating

00:48:01.036 --> 00:48:02.356
the primary sensory areas?

00:48:02.576 --> 00:48:07.316
Yeah, we haven't discovered that. But I was surprised in another experiment

00:48:07.316 --> 00:48:11.476
in 2005 that we… No, no, that was 2002,

00:48:11.876 --> 00:48:19.516
that reported in Nature, during which we discover decision-making in downstream

00:48:19.516 --> 00:48:25.696
area immediately after S1 sensory primary somatosensory cortex.

00:48:25.756 --> 00:48:29.036
This is called secondary somatosensory cortex.

00:48:30.116 --> 00:48:35.916
So everybody would expect that this area is very somatosensory.

00:48:36.856 --> 00:48:39.576
But we discovered that it was associated to decision-making.

00:48:39.576 --> 00:48:48.116
They have also working memory cells and combine the working plus the sensory input.

00:48:49.176 --> 00:48:58.216
So when I got the beginning of the decision-making process, it happens that it was delaying.

00:48:59.117 --> 00:49:02.617
With respect to the media promoter cortex.

00:49:02.897 --> 00:49:08.937
It's like it's the frontal lobe sent back a copy. Listen, do you agree that

00:49:08.937 --> 00:49:09.917
I made the right decision?

00:49:10.237 --> 00:49:16.877
So the beginning of the decision signal was in the MPC, and then a secondary

00:49:16.877 --> 00:49:19.357
somatosensory. I had thought in the opposite way.

00:49:19.657 --> 00:49:24.197
The secondary, because it was very close to the sensory, had to be the beginner. No.

00:49:24.637 --> 00:49:28.677
So that showed that there has to be a feedback projection

00:49:28.677 --> 00:49:33.417
rejection with nobody knows okay but

00:49:33.417 --> 00:49:36.497
now so the data on which we base basis

00:49:36.497 --> 00:49:42.077
interpretation is sort of the number of neurons that are responsive in the waiting

00:49:42.077 --> 00:49:47.937
period to either um unimodal or the bimodal aspect of the stimulus so i guess

00:49:47.937 --> 00:49:51.777
you you reveal that by probe trials right that way where there's there's no

00:49:51.777 --> 00:49:55.657
specific reward to be gotten by the animal but we just present either one,

00:49:55.697 --> 00:49:58.377
the tactile stimulus or the auditory stimulus,

00:49:58.537 --> 00:50:01.097
and we see which neuron responds or not.

00:50:01.237 --> 00:50:07.117
How do you exactly get, how can you tell me, how can we figure out how many

00:50:07.117 --> 00:50:11.817
neurons are responsive to a certain modality in this time? Because we have to

00:50:11.817 --> 00:50:12.917
threshold something somewhere.

00:50:13.277 --> 00:50:18.477
Well, we don't make any assumption, except that we know that this area has the

00:50:18.477 --> 00:50:23.717
capacity because we had already shown in the TAC-TAC protocol.

00:50:24.137 --> 00:50:30.397
So we simply wanted to add whether the acoustic stimulus was treated in the

00:50:30.397 --> 00:50:33.417
same way, whether those neurons had or not the capacity.

00:50:33.857 --> 00:50:40.497
And the second hypothesis was whether we wanted to test whether it were if that

00:50:40.497 --> 00:50:47.657
area, the neuron had that capacity, were intermingled, many unimodal or were bimodal.

00:50:47.657 --> 00:50:52.157
So, the only thing we did was to insert the microelectrodes.

00:50:52.217 --> 00:50:58.997
We insert the wires, is there, leave them to recuperate the tissue because we believe.

00:50:59.981 --> 00:51:04.421
We perturbate the environment of brain cells.

00:51:05.481 --> 00:51:09.141
We let the monkey to do the task that there is no problem.

00:51:09.841 --> 00:51:16.361
We don't have any statistical bias. We simple, whatever is there, we pick it.

00:51:16.881 --> 00:51:21.321
And that's it. The only thing we require is that the neurons are there.

00:51:21.881 --> 00:51:29.581
That we don't lose the cells across trials, not to have statistical problems.

00:51:29.981 --> 00:51:35.721
So cells, they have to be stable from the beginning up to the end of the test.

00:51:36.081 --> 00:51:39.601
And that's it. We don't make any assumptions. So, of course,

00:51:39.721 --> 00:51:46.301
we would like to have the through populations, but nobody can make it.

00:51:46.741 --> 00:51:53.921
Even the people that think that they have massive recordings,

00:51:54.401 --> 00:51:58.941
EEGs, magnetoencephalographic or fMRI, that's not true.

00:51:59.881 --> 00:52:06.381
This is the way we are running the experiment in 2015, and there is no more,

00:52:06.501 --> 00:52:08.121
and we have to rely on that.

00:52:08.701 --> 00:52:12.801
There will be new techniques in the future, which are not available,

00:52:12.981 --> 00:52:17.361
even calcium signals, because they have to destroy a little bit the brain.

00:52:18.241 --> 00:52:22.661
In very small animals, which sometimes I think they are not doing what the people

00:52:22.661 --> 00:52:29.341
claim, and they are sampling only some layers, and that's it.

00:52:29.521 --> 00:52:33.181
So here is what we have, no more than that. Right.

00:52:33.921 --> 00:52:39.361
So now a traditional approach or model to think about decision-making is what's

00:52:39.361 --> 00:52:41.821
called drift diffusion in psychology.

00:52:42.061 --> 00:52:47.761
It has been popular for many years and now it has been picked up in neuroscience as well.

00:52:48.041 --> 00:52:54.001
And people are sort of, you know, singing that tune quite loudly nowadays that

00:52:54.001 --> 00:52:57.161
everything is about integration of these kinds of simple signals.

00:52:57.161 --> 00:53:04.321
So now in your model, you show that the number of cells that now respond to

00:53:04.321 --> 00:53:08.161
the decision-making variable is increasing over time in a delay period.

00:53:08.341 --> 00:53:11.901
So I could say, well, isn't that suggestive of a drift-diffusion model?

00:53:11.981 --> 00:53:15.521
Because now I have just another neuron that must read out this whole population.

00:53:15.801 --> 00:53:20.121
The more neurons respond to the frequency, the higher the rate it will get until

00:53:20.121 --> 00:53:21.861
it reaches its decision threshold.

00:53:22.041 --> 00:53:25.001
And there we go. Is this how you think about it?

00:53:25.061 --> 00:53:31.661
No. In fact, I have followed a very different way myself, thinking that having

00:53:31.661 --> 00:53:38.601
hypothesis, having, but in fact, every time we do a statistic, we use a model.

00:53:39.481 --> 00:53:42.501
But I'm not married with any model.

00:53:44.041 --> 00:53:48.661
Intuitively, it's very nice that there is an accumulation model. No doubt that.

00:53:49.101 --> 00:53:55.121
But it's true and it's not true. It depends how you treat it. and uh,

00:53:56.318 --> 00:53:59.358
Accumulation can be done by the population,

00:53:59.718 --> 00:54:07.538
and in my case, I show that the signals is more represented,

00:54:07.778 --> 00:54:11.318
the numerosity increases, and the quality too.

00:54:11.398 --> 00:54:17.298
Because it's coming very soon, the right moment in which it's like when you

00:54:17.298 --> 00:54:21.458
are running the 100 meters.

00:54:21.458 --> 00:54:26.198
When you are sitting just to listen to the ball,

00:54:26.438 --> 00:54:31.458
the cue signals that trigger the beginning of the 100 meters,

00:54:31.638 --> 00:54:38.438
your brain brings you, comes to a state in such a way that sensory input treated

00:54:38.438 --> 00:54:41.718
very differently in other situations.

00:54:42.298 --> 00:54:45.858
Sensory inputs are not treated in the same way every time.

00:54:46.418 --> 00:54:48.258
It's exactly the same what happens

00:54:48.258 --> 00:54:53.498
in this case. is coming, the second stimulus, and the monkey knows.

00:54:53.838 --> 00:54:59.358
And in fact, there is a timing signal superimposed on this working memory and the numerosity.

00:54:59.678 --> 00:55:03.778
And I want to believe that the number of neurons matters in order to do a function.

00:55:07.158 --> 00:55:12.918
So, but still, there must be some thresholding and comparison going on because

00:55:12.918 --> 00:55:17.658
all what we look at now is a decision, is there's the neurons in this premotor

00:55:17.658 --> 00:55:20.118
network that you measure from are saying, yes,

00:55:20.318 --> 00:55:24.838
the frequency is there that tells me that we should do A, let's say.

00:55:25.018 --> 00:55:27.038
I have to move my eyes to the left.

00:55:27.318 --> 00:55:32.138
So now we have the evidence, but how do we get it then transformed into actually

00:55:32.138 --> 00:55:33.938
executing that one action?

00:55:34.618 --> 00:55:36.938
This is what I like to understand.

00:55:37.738 --> 00:55:42.738
For example, in fact, one other issue, if I can speculate here,

00:55:42.838 --> 00:55:46.958
because I'm not doing an experiment, simply speaking, is that,

00:55:47.818 --> 00:55:52.958
out of the number of neurons and decoding directly,

00:55:54.818 --> 00:56:01.638
something from brain cells, I would like to understand how subjectivity emerges.

00:56:03.598 --> 00:56:05.438
From the activity of brain cells.

00:56:05.778 --> 00:56:11.278
I frankly have no idea. I know it emerges, but how?

00:56:11.518 --> 00:56:20.238
It's the most difficult problem in science And if we manage once to discover

00:56:20.238 --> 00:56:26.298
this, that could be probably the most important discovery in science for the rest of the humanity.

00:56:27.772 --> 00:56:34.772
I agree with you. So you come out of a tradition, if you want,

00:56:34.812 --> 00:56:36.532
the giants of neuroscience, right?

00:56:36.612 --> 00:56:39.512
We're in the Mount Castle as your mentor.

00:56:41.412 --> 00:56:46.592
Also, you've been delving into the brain deeply and also you have very deep

00:56:46.592 --> 00:56:47.492
thoughts about the brain.

00:56:47.492 --> 00:56:53.612
So if we want to follow that tradition, what is Ranulfo's law that we should

00:56:53.612 --> 00:56:58.532
now spray paint on the wall and sort of imprint in our brains every day in order

00:56:58.532 --> 00:57:00.632
to understand the brain? I have many mentors.

00:57:00.912 --> 00:57:03.712
One also could be Wolfram Schultz.

00:57:04.032 --> 00:57:10.512
In fact, he and I were so young that when we entered into the field,

00:57:10.612 --> 00:57:14.112
we didn't know, because we didn't know how to study the motor system,

00:57:14.592 --> 00:57:19.852
we didn't know that we were dealing with reward, which probably was one of the

00:57:19.852 --> 00:57:29.112
most important functions of our brain, which is subjectivity, how to treat things.

00:57:29.452 --> 00:57:33.672
I don't think so that I have a law.

00:57:34.412 --> 00:57:39.572
I think it's a particular way of treating in doing the way do science.

00:57:39.832 --> 00:57:47.992
And probably one of the last ones is right now science is becoming like industry

00:57:47.992 --> 00:57:53.312
and bureaucracy dominates politics or something like that.

00:57:54.482 --> 00:57:59.162
I do not know whether there will be something left by me, but at the moment,

00:57:59.282 --> 00:58:01.082
I'm quite happy with what I'm doing.

00:58:01.262 --> 00:58:07.622
My subjectivity is largely recompensated, rewarded by what I do.

00:58:08.002 --> 00:58:11.882
There might be something which is important.

00:58:12.202 --> 00:58:17.482
I have dealt with two problems. For example, how the physical work is represented

00:58:17.482 --> 00:58:23.942
in the brain and track the signals to make decisions together with working men or something.

00:58:23.942 --> 00:58:27.622
And the other one, I want to believe, together with Wolfram Schultz,

00:58:27.642 --> 00:58:32.502
that we'll deal with something which is very different.

00:58:33.202 --> 00:58:39.742
It's not a physical parameter. It's something that is generated by brain cells, the reward business.

00:58:40.302 --> 00:58:46.602
But in spite of that, we were able to call something. So, we're dealing in these

00:58:46.602 --> 00:58:53.922
two works, the physical representation in brain cells and the subjectivity represented in the brain.

00:58:54.142 --> 00:58:59.702
And if you like, that could be my contribution, but I have no big hypothesis yet.

00:59:00.442 --> 00:59:04.522
Okay. So, it's like embrace subjectivity. Would that be a good law for Renulfo?

00:59:05.582 --> 00:59:09.482
Or at least respect subjectivity? Of course. Yes. Yes.

00:59:09.722 --> 00:59:14.342
But now, so the other thing, Tony likes traveling. He wants to go to Mexico

00:59:14.342 --> 00:59:15.642
City. He's never been there yet.

00:59:16.382 --> 00:59:19.982
So five years from now, he's going to come to your doorstep with a piece of

00:59:19.982 --> 00:59:22.702
paper that says, look, five years ago, you made this prediction.

00:59:22.742 --> 00:59:26.122
And today I want to know whether you actually have falsified this.

00:59:26.222 --> 00:59:31.322
Being a Popperian, you would like to have it falsified. So what's the one prediction

00:59:31.322 --> 00:59:35.742
that you would like to commit to, to be tested within the coming five years?

00:59:37.621 --> 00:59:42.601
Well, we are dealing with something fundamental, too, and I haven't spoken about it.

00:59:44.341 --> 00:59:48.141
Most of our mental functions depend on attention.

00:59:49.781 --> 00:59:53.321
And I began doing experiments on this.

00:59:54.501 --> 01:00:02.321
And it's a big issue. So far, at this moment, nobody has been able to describe

01:00:02.321 --> 01:00:05.021
brain circuits associated to attention.

01:00:05.021 --> 01:00:11.441
And some colleagues of me think that attention is the key to understand consciousness.

01:00:12.781 --> 01:00:22.641
So I'm designing new experiments in which I think I will be able to hit on attentional circuits.

01:00:23.681 --> 01:00:28.981
In the way attention matters for work memory, attention matters for perception,

01:00:29.361 --> 01:00:35.401
for subjectivity or something like that. But if you like, I have done the first experiment.

01:00:35.481 --> 01:00:39.821
If I say my first experiment, I started three years ago.

01:00:39.921 --> 01:00:48.481
So we have gathered enough data, which is part of young people under training.

01:00:49.321 --> 01:00:55.821
Very young people that I would like to, they have enough time to continue with this tradition.

01:00:56.341 --> 01:01:01.241
So my next thing is to add attention to this. All right. Right.

01:01:01.241 --> 01:01:03.181
So, Tony, remember it. Attention.

01:01:04.081 --> 01:01:06.361
All right. Renulfo Romo, thank you so much for this conversation.

01:01:06.741 --> 01:01:08.761
It's a pleasure. Thank you. Thank you.

01:01:11.321 --> 01:01:16.981
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01:01:16.981 --> 01:01:23.321
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01:01:25.117 --> 01:01:30.177
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01:01:30.177 --> 01:01:36.417
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01:01:36.757 --> 01:01:38.577
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01:01:44.177 --> 01:01:51.937
So, I made by purpose not to contaminate the sensory or the treating of this

01:01:51.937 --> 01:01:54.257
input, the transformation by the motor side.

01:01:54.257 --> 01:02:01.797
I do believe that there are motor signals coming back into there because the

01:02:01.797 --> 01:02:08.977
somatosensory, there is no other sensory system because it's more mixed with the motor out,

01:02:09.097 --> 01:02:12.257
on the motor side, you know, that somatosensory system.

01:02:12.437 --> 01:02:17.917
And we're dealing with the cutaneous modalities. You can deal with the deep modalities.

01:02:18.037 --> 01:02:23.557
It's a very complex system, this somatosensory. I think you're also simplifying

01:02:23.557 --> 01:02:27.437
it so that you move the spatial component in terms of where about on the skin

01:02:27.437 --> 01:02:30.997
that happened, whereas S2 maybe is very interesting.

01:02:30.997 --> 01:02:34.517
Something very important that you were not aware of this.

01:02:35.097 --> 01:02:40.337
The visual system treats the sensory input with the two eyes.

01:02:40.577 --> 01:02:45.437
There are two sensory inputs. In this case, it's a tiny patch of the skin.

01:02:45.437 --> 01:02:49.837
So it's allowed you to trace clean,

01:02:50.637 --> 01:02:58.917
the input signal at least at the entry and then it's very nice because and then

01:02:58.917 --> 01:03:02.617
Cajal developed I do not agree with.

01:03:04.257 --> 01:03:12.477
Gustavo says that the neuron doctrine made a lot of damage to I think you have

01:03:12.477 --> 01:03:18.917
to to take Cajal message after a certain point.

01:03:19.377 --> 01:03:22.717
And no more than that. And stop that, you know?

01:03:23.417 --> 01:03:31.897
So Cajal spoke about one of his concepts, which is called avalanche in conduction.

01:03:33.557 --> 01:03:39.877
And he thought about how it's possible that a tiny stimulus in the skin that

01:03:39.877 --> 01:03:42.817
engages few mechanoreceptors.

01:03:44.409 --> 01:03:47.729
Produces a very weak perceptual process.

01:03:48.129 --> 01:03:54.229
And he said that he traced one primary afferent that ends in the skin and then

01:03:54.229 --> 01:03:56.469
the other branch entering the spinal cord.

01:03:56.929 --> 01:04:01.449
And he said it's like an avalanche, a ball avalanche, a small one,

01:04:01.549 --> 01:04:05.509
a snowball that is moving, is recluding more and more and more.

01:04:05.649 --> 01:04:10.109
Something happened like that. The entry of that primary afferent, few primary,

01:04:10.309 --> 01:04:17.189
reclutes neurons in the spinal cord, then reclutes more neurons in the thalamus,

01:04:17.209 --> 01:04:21.749
but preserves somatotopy, and then enters into cerebral cortex.

01:04:21.929 --> 01:04:26.669
And columnar organization, you like, proposed by Bernoull-Mamcastle,

01:04:26.729 --> 01:04:33.109
have divergent some other cortical inputs, other hemisphere downstream structures.

01:04:33.529 --> 01:04:40.369
So there are many players from a column in S1 that puts in motion everything.

01:04:40.369 --> 01:04:44.429
There will be a symposium in Mountcastle on November.

01:04:44.769 --> 01:04:48.269
Ah, really? So I have to think about this. That's great.

01:04:48.449 --> 01:04:53.709
So I have to talk about models, columns, about distributed systems,

01:04:54.029 --> 01:04:58.029
some autosensory system, where he laid out some ideas.

01:04:58.949 --> 01:05:05.269
And what is left from this and what was not left? I have to be critical.

01:05:05.529 --> 01:05:08.669
Yes. Well, I think not much is left by now, right?

01:05:09.709 --> 01:05:14.749
Not much. People like these very compressed, simplified models.

01:05:14.969 --> 01:05:17.209
They really start to forget about the complexity.

01:05:17.509 --> 01:05:23.929
Yes, but if you read carefully his chapter in The Mindful Brain.

01:05:25.069 --> 01:05:36.169
He had an idea, but he was not beyond that, because he was scared that everything

01:05:36.169 --> 01:05:37.889
was wrong, Even with myself,

01:05:38.109 --> 01:05:43.969
because we design multiple electro recordings to hit the columns in S1.

01:05:44.109 --> 01:05:48.149
And very often we had a column and he didn't want to test it.

01:05:49.054 --> 01:05:53.974
He was scared about that. And of course, I said, why don't we,

01:05:54.014 --> 01:05:56.314
you know, the monkey's not working very well.

01:05:56.374 --> 01:06:00.834
I knew quite well that he was confronting something that.

01:06:01.814 --> 01:06:07.434
An idea. Yes. And once I asked him, listen, Vernon, why you never go to,

01:06:07.514 --> 01:06:10.474
didn't go to secondary somatosensory cortex?

01:06:10.694 --> 01:06:15.614
And reflexively told me, I didn't know how to go. and then and I said listen,

01:06:16.194 --> 01:06:22.614
why don't we go at least to the motor primary motor cortic now that's bullshit

01:06:22.614 --> 01:06:32.894
the motor system is the worst and I moved to Mexico in a week and he did some experiments in M1 and,

01:06:33.734 --> 01:06:42.154
he sent me a phone call to tell me listen I wasted time in the primary somatosensory,

01:06:42.814 --> 01:06:46.234
Now I see neurons associated to the session.

01:06:47.594 --> 01:06:52.414
Okay. So I went back to him to make some collision. We have to make some control,

01:06:52.494 --> 01:06:54.874
at least to do some recordings of the muscles.

01:06:55.274 --> 01:07:00.854
So I did some records of the muscles. And those were not decision signals.

01:07:01.014 --> 01:07:04.234
They were associated to motor responses.

01:07:04.894 --> 01:07:10.314
They were missing some controls. And in fact, we published those papers,

01:07:10.374 --> 01:07:16.614
that paper in 1992, that was the last paper in the cerebral cortex.

01:07:17.774 --> 01:07:21.154
But that paper can be criticized for many times.

01:07:22.594 --> 01:07:27.134
So, Ranulfo, I'm going to bring you to the... I can go. We want to talk to you

01:07:27.134 --> 01:07:28.914
about... Yes, I would like to. ...intention. Please.
