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Okay. So my name is Steve Fleming, and I'm going to be giving you a lecture on consciousness today. I am. So what's the focus of this lecture is is the problem of perceptual awareness. So imagine your standing on whatever bridge this would be in London. Mostly bridges, maybe. And you're looking at the sunset. Then you will also be most likely to be aware of that sunset and be able to communicate its properties to other people, to your friends and so on. But at the same time, there's a lot of other perceptual inputs that you may well be unaware of, such as the feeling of the clothes on your skin or changes in your posture. And a cool question in consciousness science is what are the computations in the brain that differentiate between conscious and unconscious information and what are the mechanisms, what the neural mechanisms that supports that difference. Now, when you hear the word consciousness, people often start thinking about mysterious phenomena. So in the media you might hear about panpsychism or plants, consciousness and so on. So we're not going to be encroaching on this territory today. So there are some somewhat out there consciousness that are doing the rounds and we can't rule them out 100%. But the approach I'm going to tell you about today is taking an approach very much squarely within cognitive psychology and neuroscience. And the questions that we can tackle with experiments in the lab are these ones. So what differentiates Conscious from unconscious processing as a neural level? What is it in the brain that makes a difference for conscious processing? What's the difference that makes the difference? So in today's lecture, there's quite a lot to get through. There's a bit of material towards the end of the lecture, which is some unpublished work from my lab that is optional. It won't be examined, for instance, is not published, but if we get there, then I can talk about it, but I might skip over that if we are short of time. So we're going to cover these topics. Conscious the difference between conscious level and conscious concepts, and talk briefly about some methods for manipulation in consciousness in the lab. Talk briefly about what's been found, found out about the neural collective consciousness, and then I'll talk about some theoretical issues, such as the importance of controlling for performance. And then at the end, we'll look at some ethical issues that arise. Well, it's now become possible to detect the presence or absence of consciousness in non responsive individuals. So what do we mean by the difference between consent and level of consciousness? So the idea here is that we differentiate in the level of consciousness from, say, sleep to wake you go you become unconscious when you are in a dreamless sleep, you then maybe become conscious of your dreams, and then when you wake up in the morning, you're fully conscious of the outside world. So that's different, a difference in the level of consciousness. But the idea is that even when conscious level is constant, so even when you are awake and engaged in your surroundings, then the content of your consciousness might fluctuate over time. So you might be conscious of my voice right now, but in a few minutes, if you zone out for a few seconds, think about something else. You might not be conscious of my voice in in, in, in that in that moment of time. So the question that we're going to focus on in the main question we have to focus on today is what contributes to conscious experience over and above simple information processing. The information is getting processed to some level. We know that from experiments, so I'll talk about next. But sometimes it's conscious and sometimes it's not. What makes what underpins that difference. So a lot of the work that's been done to study consciousness in the lab has been a variant on a paradigm called visual masking, which some of you may have heard about, say masking is quite simple. The idea is that you present a stimulus on a screen and then a very short time later you present a mask. And the the time interval between the stimulus and the mask is known as the entire stimulus interval is I. And sometimes you'll see that written in papers. Is the stimulus onset a synchrony or the way those two terms are interchangeable? And that's in say, Sorry, I should have told you to be ready for this. So if you have a look at the screen now, I'm going to flash up an example of a mask. So some hashtags followed by the stimulus, followed by the happens again. And you should be able to see this one. Let's just back up. So we're ready. Here we go. Everyone see what the word was. Okay. So that was a relatively long as. So the word is visible. This is now a shorter AISI. And it isn't even sure to ISI. He put your hand up if you saw the. Okay. So about 50%. So that's that's. So, I mean, PowerPoint is not the best technology for presenting these kind of stimuli, but as easy as the mask and the stimulus interval decreases, it becomes harder and harder to see. The word that last one was orange for those of you who saw it. So the masking effectiveness has been studied in a number of studies. It depends on the timing, as we've seen. It also depends on the stimulus intensity. So if I keep the icy effects and drop the contrast of the how black or grey that stabilises, then I can increase the masking efficacy and also stimulus content. So interestingly, things like your own name or emotion always will jump out even the same level of masking. And there are also individual differences, as we saw. So some people saw it, some people didn't. This is obviously not a control. It's like a business experiment. But when we do controls like this on this, we see individual differences in masking threshold. Now, this would be less interesting if this just meant that you didn't see the work. It wasn't even processed on your retina, for instance. That would be less interesting because that just means the stimulus hasn't got into the system. But we know from a number of studies in cognitive psychology that mass stimuli can affect behaviour even when people say they didn't see it. So often this is done using what's known as an indirect test of and the processing of the words. So you might go through an initial phase of an experiment where you get flash words or different stimuli that were masked. And on some trials of that experiment, you might say, I didn't see it. I don't know what the word was. But then in a second, indirect test, for instance, this is an example from ten up in the eighties. If you then ask people to say whether somebody is a word or a non word, you'll be faster. If the word is semantically related to the last word that you claimed not to see. So in this case, banana is semantically related to orange and you're faster to say that you banana is a word. So that indicates some depth of processing. It's not just that it's failed to get into the system on the retina. It's got into the system. But people still claim that on the Web. Now, more recently, people have used brain imaging to show that it's at least into the visual system. And even they're processed into, say, areas dealing with language. So this is an experiment from Garrett Research Group in Queen Square. And what they did here was use masking to make the orientation of these lines invisible. And they used a slightly more sophisticated masking procedure so they could, rather than just flush it once, they could flush it continuously. And people would still claim not to see the orientation of the grating. Right. So that what they're actually being flashed is a left tilted or a right tilted grating. But they just see a mask, applied mask. And what you see on the right, that it's a machine learning classifier that's trained to try and decode the true orientation of the invisible grating from activation of different brain areas. And as you can see, they can decode above channels and the visual cortex. So that suggests that the grating is being processed in early visual cortex, even though the subjects themselves say they didn't see it. So that's some evidence, both behavioural and hopeful. The processing of stimuli without awareness. Then what happens when you become aware of it? This is the other side of the coin. And so when you do this, you can show that when you see a masked word. Then you get elevated activation in a widespread network in the frontal cortex, whereas when the word is invisible, then the activation is much more restricted to early visual areas. I can't find a pointer, but not read is maybe I can come up. Yeah, I think. Yes. Good. So this. This. This red blob on the right hand side here is the activation you would get in individual cortex X to straight cortex when word is invisible compared to baselines, suggesting, again, like any experiment, some processing of my stimuli in early visual areas. But when you become aware of it, when you see it, you see it and you get much more widespread activation in your friends across the network. These are experiments. These are both experiments from Standard Hands Group reviewed in this paper newsroom. Again, you get a similar pattern when it's in the auditorium with a mask. Or interestingly, in white noise. Sometimes you say you see it, you heard it, sometimes you didn't. When you didn't. When you say you didn't hear, hear it, you get some activation in auditory cortex suggesting some data processing. But when you say you heard it and you get much more widespread activation in front of prosecutors. We'll come back to what this means in a second. Just for completeness, another popular technique for manipulating an awareness of the stimulus is binocular rivalry. So often this is done using red green goggles. So you present an overlapping stimulus. So the house is in red here, the face is in green. If you put red green goggles on, the images compete for dominance between the two eyes. Sometimes you see the faces, sometimes you see the house. But the stimulus that's on the screen is identical in both cases. And so this is useful because then you can create this kind of phenomenon where there's an unchanging stimulus, but your perception is changing. And when the stimulus is unconscious, we can also track it. We can then track its influence on information processing. So just to give you one example of work in this. So here is a study from Dell PCS Group. What they did here was used by knock the rivalry to mask the movement of some moving dots. So this is the this is the stimulus that people actually see in the other eye. What they don't see is some coherently moving dots. And then after this initial period of binocular rivalry, they have to make a decision about some consciously moving dots. And what they find is that if the unconscious information is helpful and people will be better at that decision when it's coherent in red than when it's just random and in green. But interestingly, this so this unconscious information boost your performance. So again, it shows the process, but it doesn't change people's confidence in that decision. So to them, subjectively, subjectively, it feels as though it's just the same in both the helpful and the unhelpful cases. But in the helpful cases, even though the information is unconscious, it's actually making your decision better. So we can then ask and we've already seen some of this information already. What are the what are the new correlates of consciousness? So we know that we can input information into the system that is sometimes unconscious. So then we want to know what's the difference between when you're conscious of a stimulus and when you're not. And so the neural correlates of consciousness have been defined in the early 2000s as the minimal set of neural events that are sufficient for a specific conscious experience. So the idea here is to keep the stimulus inputs similar, but contrast conditions between when you say you were white or something and when you were unaware of something. Okay, so we've already seen this slide. So this is the idea. When you're aware of something, there is a global ignition through the brain, through the frontal and the price of cortex. And when you're not aware of that stimulus, you don't get that global ignition. So just to give you an detailed example of this, this is actually from a study using EEG and combined with Meg. And so here they were able to look at the fine grained temporal dynamics of what happens, what the fate of a stimulus when you show it on the screen, either when someone says they saw it or when they didn't see it. Yeah. Yeah. See, that's what you. Right. Sorry. That's actually prefrontal cortex. But you should. There is also activation in the parts of what occurs in the prefrontal cortex and the Bronco area where they are. That's right. That's right. Yeah. And so, again, they used this masking procedure with a variable delay, stimulus onset synchrony. And what they could then do is plot these activity time courses as a function of this asset way. Right. So people gradually became more and more aware of the stimulus as the way increased. And what they found was that in early in early visual cortex, see this this box here, there was a pretty linear increase with SLA. So it's like the stimulus is getting a bit stronger, a bit stronger, a bit stronger in the early visual areas. But when you look at the prefrontal cortex signature later in the trial, it's more all or nothing. It's almost as if like on some trials, the whole system is nice and you're conscious of it. On other trials, it doesn't. So this is this idea of a bifurcation response. So it's like a nonlinear system where occasionally the stimulus will trigger this ignition and make it into violence, and other times it won't. So there's been various models proposed with what might be going on here. So one of the most popular ones from the bars and stand the hands grip. Has been the global workspace theory of consciousness and the idea that consciousness occurs once information is may be sequestered in perceptual areas, gains access to a global neuronal workspace. And that's proposed to be supported by these fronts of prior to networks. And so that would explain why you get ignition, because when the information is weak or subliminal, it just kind of reverberates around the visual cortex. Then as it crosses the threshold for admission into consciousness, you get recruitment of these fronts across all regions as well. An alternative view is the recurrent processing VAT that was put forward by Ptolemy in the 2000. Is that. What happens is that when you get some visual input. If it's very weak, then you'll just get feed, food processing and you won't get any conscious person. But if it's a bit stronger and long lasting, then you'll get both people and feedback activation along the cortex. And that supports consciousness. And what Lamaze this additional ignition into the parts network is secondary. It's not causal or conscious experience, but it might be involved in things like reporting that you've seen something. So this is quite a deep divide between what are called local theories of consciousness, which propose the activation in recurrent loops within the perceptual system are sufficient for consciousness, experience and global theories which propose you need to get the information out into a global workspace for consciousness to arise. How. And so so this this activation here would be just for reporting your experience for assistance, but not for actually being conscious of that experience. Then you might be, for instance, you might be conscious of something and then immediately forget it and be unable to report it. And the recovery process. If you say that your your conscious is in the moment that is supported by recurrent processing, even though you're unable to report on it. Now, personally, I find this new quite difficult to get my head around because it would suggest that there could be cases where the subject themselves says, I definitely wasn't conscious of this thing. But the neuroscience, as we say now, and I can see your reverberating loops in your visual cortex, you must have been conscious of it. So I think this actually goes against the folk psychological notion of consciousness is something we're able to communicate to others. But I think it's still worth taking seriously. Okay. So the final theory I just want to cover is higher order theory. This is got similarities with the global workspace theory. And the idea is that there are first order representations in perceptual systems, and these first order representations themselves are not sufficient for conscious experience. They might drive behaviour, they might allow you to respond above chance on a task, but they're not sufficient for conscious experience. And instead the idea is that consciousness of that content needs to have some higher order representation that allows the system to become aware of that first order state. So this entails that the first order representation in the perceptual system should be monitored or matter represented by the higher order representation. And so that's another prominent view. And again, with, you know, ongoing debate about which which view is correct. And new experiments are coming out all the time to try and distinguish between them. And one important issue that we need to do here affects all these different theories is the problem of performance compounds. So when we look at the neural coral, it's a conscious one. When we look at the these emission signatures, are we really just isolating consciousness or are we isolating the neural correlates of the improved performance or information processing that often accompanies consciousness? Because we know that when we're aware, some people are often able to use that for various functions like Oops. Like language, working memory, communicating it and so on. And the reason that is really important to control for performance is also got its roots in philosophy and in the theory of consciousness. So the idea is that consciousness or sentience is not the same as being sensitive to something. I say we can think of plenty of systems that are sensitive to the outside world without being conscious. Your camera appliance, maybe a thermometer, those all those are all sensitive to the outside world, but we don't usually think of them as being conscious of what they are sensitive to. And because under some theories like higher order theory, these first order representations are held to drive tough performance as well as contribute to consciousness. The problem is that if we have some experiment that boosts consciousness in some way, like changing the soul in a masking experiment, if we change both consciousness and performance in tandem, then we don't know whether the neural or behavioural change we see is due to the changes in performance or the changes in consciousness. And as I said, this is particularly crucial for testing the predictions of higher order theories, because if performance is not controlled, then we might unfairly stack the deck in favour of these first order theories that might see correlates of consciousness in only, only perceptual areas. And if you're interested, this has been really nicely unpacked in a book. It's very accessible by heart for love. So one reason to believe that we can do this and control for performance and still study consciousness is the phenomenon of Blind Side that was discovered by Larry Weiss Krantz, who was a eminent psychologist at Oxford. And what he did was study patients with damage to the early visual cortex. And so these patients would often have time is just to one hemisphere caused by an injury. And that led to their clinical visual field tests looking something like this. They'd be perfectly well aware of things on one side of space, but they be essentially blind in the other side of space. So when they came into the doctors, when they went to the apologists, they would be classed as having a brain lesion causing blindness in one half of space. But what's really interesting here is that when you study them in more depth, patients with Blind Eye are actually able to guess while above chance. What is being presented in that Blind Army field. Now, I won't show this just for the sake of time. If you're interested, you could watch a YouTube video of a black patient doing exactly this. The light lights are flashed in the blind field, and when he's forced to guess where they were, he's often close to 100% accurate, even though he himself will say, I didn't see anything. Right. So that's a case of performance being high, but always being zero. And in experiments you can then adjust the stimuli in both the normal and the blind hemi field. So that performance is matched between the two hemi fields. But now he's only aware of the stimuli in the normal hemi field, not aware of the blind happy field that creates an really nice, well-controlled case where performance is matched in the two hemi fields. There's no compounded performance now you're just he's able to process the information just as well in both cases. And yet awareness is only present for the stimulation one field and not the other. And when we then look at brain activation in relation to this difference, you still see the controlling performance elevated activation in the front supports. In that way when you're presenting stimuli in the normal impairs the blind. HAVERFIELD. It's also possible to do these kind of experiments in otherwise healthy observers. So this was a study of blind side in normal subjects, in healthy subjects without a brain lesion. And this was done using a masking procedure. So participants were first asked to decide whether a diamond or a square was presented on the screen. And this was difficult because it was masked. It was flashed very briefly. And they then had to indicate whether they saw the target or whether they simply guessed the answer. And what was found in this experiment was that it was possible to find two conditions. Across the whole range of ways where performance was modest. So that's the the red line here. Performance at these two areas is matched. But this is the way people say they saw it less often than this as a way. So you can see that down here performance is nicely matched conditions. Information processing is just as good. But people are less aware of the stimulus that this has away in this X-ray. And when that contrast is then done between these two ways within the fMRI scanner, you get localised activation in the lateral prefrontal cortex in relation to increase in conscious awareness. And just a final example of this. This is from, again, a study of patients with brain lesions, but now with lesions to the prefrontal cortex. So patients with prefrontal damage were asked to provide a false choice of which of to stimuli were presented on the screen and to rate the visibility of their stimuli. So how aware they were. And what's interesting is that compared to controls. The subjective visibility of those stimuli was reduced in the patients. And that's even the case when performance is match between the controls and on the patients. Right. So this is now plotting the the the difference in visibility for trials on which the patients got correct patients and controls got correct. On the upper lines here on trials in which they got incorrect here. So even when you split out the trials, according to ones that there were right and wrong, you still see that subjective visibility is lower in the patients in grey compared to the controls in black. And what's interesting is that if you then correlate the extent to which visibility was reduced in the patients with the location of their brain lesion, you can get a map like this. So this is known as lesion lesions into mapping. This is a map of the lesions that were most correlated with the drop in consciousness threshold. And here you get a evidence for a contribution of damage to the prefrontal cortex, to the anterior prefrontal cortex, to the threshold for conscious awareness. There's one other compound that we need to think carefully about here, and that's not just performance, but I mentioned a while ago that you can find cases where people are performing better in one case rather than the other due to unconscious information, but their confidence level is not different. Now, the problem is that in a typical Moscow experiment, when people say that they saw a stimulus, then they're often more confident on those trials than when they say they didn't see a stimulus. And you can see that here. This is actually some data from our lab when subjects say they saw a massive stimulus. And they're more confident on the y axis compared to when they said that they didn't see a massive it. So the problem is that all these existing findings in the literature on the front surprise activation being related to conscious awareness might be consistent with these brain areas, coding for the visibility or your awareness of the stimulus. But it could also be consistent with these brain regions being involved in representing confidence in your decisions. So to look at this. This was work done by my pastry student, Martha mazur, and post-doc Nadine Easter. And what we did is apply a machine learning decoding procedure across the whole brain to try and deep code people's allowance of the stimulus where they said they saw it or not, and also what the identity of that stimulus was. So we can decode the identity of the stimulus, whether it was tilted to the left or the right in early visual areas. And we can then decode their awareness in front of proximal cortex. So that's consistent with the picture of global ignition when people say they saw it. You get more activation, more decoding of awareness in response across the network. But when we then control for confidence in this analysis, when we artificially match the distributions of confidence on yes and no trials when they said they were aware of it or not, and a lot of this activation actually disappeared. So after DOWNSAMPLING to ensure confidence was matched on these trials, there was no longer any visibility, decoding, any awareness, decoding in large swathes of the pre-frontal cortex. Now, it was possible to still decode awareness from some subregions of of all time, such as the posterior medial frontal cortex. So I think this is a very recent study, and we just presented this a conference over the summer and published it a few weeks ago. And so I think we're still figuring out how to interpret this. So there's I think there's two implications of this work. So the first is that this is a big issue. This is a big deal that these are two distinct phenomena. On the one hand, we have confidence formation, monitoring, metacognition, thinking about whether you got an answer right or wrong. And this has been confounding all the studies of awareness in the literature. And so we could need to control for that to isolate a pure awareness signal. And this has been this view has been supported by people like Standard Hand who think that monitoring self awareness of whether you get things right or wrong should be considered as distinct to global broadcast. The alternative view is one that I favour is that there are shared computational substrates for both monitoring and wireless. Essentially what we mean by that is the ability to be aware of how things are being processed and that includes being confident in a response that you get. The very feasibility confidence can be defined in terms of being confident in a first order representation. So that means there might actually be shared mechanisms that underpin both confidence and awareness, and therefore it's unsurprising that much of the classical correlates of consciousness disappear when we control for confidence, because that's what we should expect under that view. So this is an ongoing debate and it's not been resolved. Yes. And so what I've described is that we now have a number of empirical signatures of consciousness. We also have a number of theories. And I just want to tell you one thing about what's happening at the moment and in, I guess, conscious to science as a ongoing project. So one thing that people are a bit worried about is that. These theories are somewhat siloed. They're being tested by different labs that don't often talk to each other. And there was actually a really interesting study from Italy, Iran and the moderates group in Israel that they collected all these different papers on consciousness in the literature together. And then what they did is they mined the text of those papers and asked which theory is being tested in those papers. And slightly concerningly in papers that said that they were testing recurrent processing theory. They would often report evidence for activation in the visual cortex in support of consciousness, whereas in papers that said they were testing global workspace theory, they would often report activations in the front sprouts of network consciousness. This is a bit of a concern, right? Because it can't be that they're both right. So there seems to be quite a bit of bias between some labs focussed on one area, some labs focussed on another theory. And I think that there are now ongoing, really interesting ongoing initiatives such as adversarial collaborations that have tried to stop this happening and try and get labs who are favouring different theories to actually work together and test competing predictions. I also think there might be a deeper problem here in consciousness science, and that is the fact that actually the theories of consciousness are not really thinking about what the functions of consciousness are. So in this recent article I suggested that there is a consciousness, a solutions in need of problems. People are putting forward theories of how consciousness might work in the brain, but they're not necessary thinking about why consciousness exists in the first place, and that is at odds with other fields of psychology, right? So if you have a theory of memory, for instance, then you want to know what that memory is being useful. How is it helping the organism survive? And instead, in conscious decisions, we often rely, I think, a bit too much on intuition about the kind of experience we're trying to explain. Just as I introduced in a stop, I started the lecture by saying, Imagine you are on a bridge in London and looking at something sunset. That's very intuitive, but it's not really constrained functionally. And this lack of functional constraints is a problem because the test of a good theory in psychology or neuroscience is whether it can explain how a system performs a particular function, how a theory of vision explains how we categorise objects, or how a theory of memory explains how we remember and forget. All right. So I think we can take a lot from the next levels of analysis from David Marr. So this is the idea that if you're trying to explain, for instance, how a bird flies, you first need to know something about why it's trying to flap its wings. What is the goal of flights is to take off and leave the ground. And that then constrains your search for the algorithm that does that job. Maybe you're going to take off and leave the ground with jet engines and fixed wings. Or maybe you're going to take off and leave the ground with flapping your wings. And then you can think about how that might be implemented at the physical level. And people have suggested that in neuroscience and psychology, it's useful to think about all these levels of analysis. So both the levels of implementation, such as how it works at the level of brain areas in seconds and algorithms, so computation, but also and this thing, this is the level that often gets missed out. What's the goal of the hour? Why is it there in the first place? And one thing I think is useful to constrain theories of consciousness is the notion that consciousness, at the very least, seems to be for sharing information. And this has been put forward by Chris Pratt, who used to be. He's emeritus professor at UCL. And he writes, The conscious experience is the one outcome of the brain's information processing that can be shared with others. I think it's very hard to disagree. This is essentially the definition of what we mean by conscious experience. When I'm a stimulus and you don't see it and you can't tell me what it was, that's the definition of it. There may be lots of things that are influencing our behaviour unconsciously. I can't tell you what they are. If I could, I would be conscious of them. The consciousness is at the very least for sharing. And what's interesting is that this kind of idea is floated around the literature, but being somewhat obscure for many years now. So this is a book chapter written by the famous neuroscientist Horace Barlow. And and it's not as widely known as Chris's work because it appeared in this book chapter in 1997. But he writes here, I think, things that are very similar. So what makes the pursuit of communal goals possible as humans is our ability to communicate with each other, which is surely the direct and obvious result of being conscious. Because if we weren't conscious of what we're thinking about and feeling, we couldn't share that with others. On the current hypothesis conscious experience gives one communicating one's own experience to others. That is its purpose and survival value. So what we're what we've been working on recently is trying to drill down into the algorithms that might support sharing of conscious information. So first of all, it's useful to think about what is being shared. And at the least, I think we can think of both content. So I might share with you the fact that I'm feeling a bit tired or hungry, or I can see a bird over there or, you know, that nice content of words. I also might share with you the vividness of that experience. I might say to you, I just can't continue this lecture because my headache is so strong. That's a very strong experience dominating my conscious experience. And these things are interchangeable, right? So I might be vividly aware of having a headache or dully aware of it. Partially. Well. And this in philosophy is known as the idea of mental strength. It goes all the way back to David HUME. Recently, this paper from George Moralez, who has suggested that the idea that mental strength is a phenomenal magnitude is the strength of vividness, of an experience. And it said by all conscious experience and explains that degree of intensity. And indeed, it seems that this is capturing something deep about what it means to be aware of different types of mental content. Because when you put people in an experiment where they actually have to share information to succeed, they naturally fall back on this sharing of mental strength. So this is an experiment from Barbara Graham's group where they asked people to sit and look at two different computer screens. They have a different visual task to do. The task is not so important at the moment. But the important thing is that they would then allow us just chat to each other and come up with a joint decision about what they saw on the screen and the kind of words they used. This was done in Denmark, but the translations there are things like, you know, I, I, I see see this very well, but these I didn't see anything will go with yours because I saw nothing. I took a guess, a wild guess so that communicating degrees of experience, strengths of experience. And by doing so, they can then achieve a better performance together than the best individual could alone. Okay. I just want to give you a flavour of this model. This is the part that I said was, uh. That could be, could be sketches. This is very much ongoing work, and it's not the kind of thing you would necessarily be expected to talk about in an exam, for instance. But the idea that we're working with in our lab is that we can start building in a this this notion of awareness of mental strength into a generative model of perceptual content that we can simulate in the computer, and then we can devise hypotheses that test this awareness related computation against its implementation in the brain. So the idea behind generative models, this is very broad, and you might have heard this idea in vision science is the idea that what the brain is doing is essentially building a generative model of the incoming sensory data. So it's trying to infer the best guess of what it's seeing based on the incoming prediction errors and the sending predictions. So this is known as predictive coding theory, predictive processing, and more generally it's known as the theory of generative models. But what's interesting about this architecture is that awareness of the degree of phenomenal magnitude or awareness of content is not in that a lot of this stuff is suggested to be proceeding completely unconsciously. That's why we're not aware of how that percept of an animal is being formed, how what's called an unconscious inference. We just unconsciously infer that an apple is there in front of us. And so we might need to start thinking about how we can extend out these models to include additional higher order levels that monitor the extent to which the system thinks there is content in its first order generative model. So this is a higher order theory of consciousness. And the idea here is that awareness states are abstractions about the presence or absence of perceptual content, and that might support communication of mental strength. And I will now just skip over the experiment because I wanted to go to the part on on the ethics. But you have the slides and if anyone has any particular questions about this and feel free to to come and talk to me afterwards. As I said, this is very much ongoing work that's not published yet. And so what we're trying to do with this work is reverse the arrow here. So we have functional constraints on what awareness is for and that we hope we're very much at the start of this project will start to enable us to, rather than just remain siloed, testing different favourite theories that are built often on intuition, to actually develop a working model of the minimal types of computation that might allow the communication of mental strength, the communication of degrees of experience, and then test that against behaviour and brain activity. Okay. So just to derive some interim conclusions. So we've looked at how techniques such as visual masking and binocular rivalry allow the precise manipulation of awareness to simple stimuli. Conversion evidence for unconscious processing of stimuli is provided by people performing above chance on indirect measures of information processing, such as priming or forced choice responding. The Neural correlates Consciousness research program identifies awareness with front surprise selectivity and recurrent processing. But note that it's important whenever you are reading this literature to assess whether there whether the research is a much different potential composition of performance and confidence when assessing the basis of awareness. And finally, I am excited by the idea of adopting a more functional perspective, just like we do in other fields of psychology. So what is consciousness for might and allow us to build a conversation among the consciousness related processing. Okay. So mainly we've talked about this difference in conscious content. We talked briefly about difference in conscious level at the start. But now I just want to turn to the problems that arise when we're able to start detecting conscious level independence of what clinicians call vigilance. So people who are in a vegetative state or some forms of advanced dementia that are non-responsive might actually be vigilant in the sense that they're awake, their eyes are open. But they may have very little. In a consciousness. At least that's what a lot of ICU doctors think about people who are in a vegetative state. And. What's fascinating and somewhat disturbing is that there are cases where, while clinically is usually described as condition, is wakefulness. Without awareness, a subset of patients may show no reliable behavioural signs and yet be able to communicate known as a minimally conscious state. And this is famously described by Jean-Dominique OB, who is a former editor. Elle and then became locked in in a minimally conscious state and went on to write this beautiful book, The Diving Bell and the Butterfly, just by fluttering his eyelid to indicate what words he wanted on the page. A whole book that. And the problem is that recovery from this vegetative state after around one year is very rare and often involves severe disability. So it raises ethical issues because you might read in the media sometimes about decisions, controversial decisions to be made by the legal and medical professions, about whether it's right to remove life support from someone who's in a vegetative state. That's actually how this is not living anymore. Now, obviously, this changes a lot. If science can come along and say, actually, maybe there is some in a conscious experience there and maybe it's a meaningful one. And a real advance came in this area from work done by Adrian Owens Love, who's now in Canada. And he showed that in some vegetative state patients, when you put them into a functional MRI scanner and you ask them to imagine either walking around the house or playing tennis, then the activations you got in, say, the motor cortex and the networks such as the prior to cortex involved in spatial navigation were very similar to those you got in controls. Being asked to imagine walking around the house, all things tennis. So that was taken as some evidence that the patients, even though they're behaviourally unresponsive, may well be conscious to the same degree as the controls. Similarly, it's been possible to use non-invasive transcranial magnetic stimulation to ping the brain and then look at how distributed responses reverberate around the brain using EEG. I won't go into all the details of this, but essentially what you can do is then take these recordings, compress it down and ask how complex is the activation that is elicited? This is known as the Participation complexity index PCI. And when you plot this perturbation to index on the y axis here as a sorted according to the different patient groups, then healthy subjects are up here. So you see complex brain responses and patients who are confirmed vegetative state down here. But what's interesting is these behaviourally unresponsive MCI patients sometimes drift over into the healthy range and even some vegetative state patients might start to be providing some evidence of consciousness. So I just want to end with a single case study. So this was reported in this paper made you know, in reviewing a lot of this literature in 2013. So this was a 26 year old male who'd had a motor vehicle accident, was admitted to hospital in a coma. And over the next 12 years remaining consistent behaviour defined vegetative state. And in February 2012, he used I wouldn't use this tiny house method to answer multiple externally verifiable questions so you could ask the subject to imagine playing tennis. Yes. Or imagine play walking around your house for no. And then he was able to answer using that non-invasive brain imaging method his own what his name was, the name of his support worker and so on. These are things that. You know, only he could have known and were able to be verified by the medics. And then what becomes very difficult is the same technique could then be used to ask non verifiable questions that might be important for quality of care, which is what he wants to watch on TV and whether he is in pain. So there's clear ethical implications here. I won't read all these out, but just to highlight what sorry, just to highlight a couple of things. So first of all, we might have an intuition that that must be a terrible quality of life being locked in. All you could do is imagine and create brain activity patterns that you can't do anything. You're sitting there just completely stationary. But our intuitions about this might actually be wrong. When you measure quality of life in patients who in locked in syndrome patients, the majority say they're happy with their quality of life even though they're locked in and this is covered in the baby book. And so the advantage of then single patient communication is that a subset of those patients might not be happy, but there might be very simple things that we can do to change and be able to communicate with them. Noninvasively is potentially very important. Okay. So just to conclude, so I've said a few of these, and the last point here is that neuro imaging may facilitate communication with behaviourally non-responsive patients and allow classification of peaceful levels of awareness, but this raises deep ethical issues. Thanks very much. |