 Good morning, everyone. Thank you so much, Ashken. Wow, this is loud. I'm really excited to be here. I'm not part of the float community until now until this last year, so I'm excited and I'm being very happy with how welcoming everything has been. So here's what I'd like to do today. I'm going to tell you just a little bit about, you know, the science background behind what we're doing and then show you what we're trying to accomplish with these EG research protocols. I'm a neurophysiologist. I'm a cognitive neurosciences. That's my background. I spent several years at the National Institute of Health. I had a double affiliation there with the National Institute of Mental Health and the National Institute of Deafness and other communication disorders. And then after six years there, I spent another five years at the SELC Institute as a neurophysiology researcher. You've been hearing a lot about interception and monitoring the body in your state, and that's a lot of the work done at Lever by Justin Feinstein, Sahib, and a lot of our colleagues. My background is on conceptual representation and evolution of language and sort of a fancy way to say that I care about how do we make sense of the world, right? How we categorize different things. How we know that chairs and tables are pieces of furniture or sardines and pineapples are fruit. And how does the brain instantiate those things? How do we have that represented in the brain? So I spent several years with Alex Martin amongst other people looking at how does this process occur. And what we know is, and like many other things, and what was thought before and that there's like a specific area that just has these nice packaged memories and representation of what we have, what we really find out is what we call embodied cognition. There's a neural network that spreads the different features of what you're experiencing and then it gets stored within that same network. So for instance, you've been hearing about different insula, middle frontal cortex, et cetera, different brain areas. Think about in this case in different sensory areas like visual cortex, auditory, somatosensory, and basically all these areas get active when you're experiencing something. So for instance when you see a dog, let's say, right, you're going to have visual cortex being active about the visual features of the dog, the color, the shape, you know, four legs, how it looks like. You're going to have somatosensory if you touch the dog and feel the fur, auditory if you hear the dog bark, et cetera. So the idea is there's a neural network distributed and different brain areas working together and the representation of the memory sort of emerges from this. So we did a lot of work on this. We use techniques like the ones we've been seeing, fMRI and PET. So those big brain imaging where you have the nice brains with the blobs of colors and tells you where each thing is happening or which brain areas are involved. We did a lot of work on that, but for the purpose of this presentation, we're actually going to talk more about EEG. So we'll let you encephalography. After these years at the NIH and then at the Salk and working, you know, just like Justin with fMRI and PET, one of the advantages of the EEG is that it gives you a better temporal resolution. So when you look at those, what we call T-maps, those brain activation maps that, you know, Sahib, Justin, Colleen has been showing you, you're basically looking where different things are happening in the brain. But then the key is the temporal resolution. How does each one of these areas actually, you know, plays a role in this thing? And EEG or electroencephalography can help you with the temporal resolution for that and give you the snapshot of most interesting events will occur below a second, 100, 300, 500, 600 milliseconds. So we really want to have a different technique for that. This is the traditional EEG gear setup. So let's see. There you go. So this is usual cap. Each one of those things is an electrode, is a sensor. So these are passive sensors. We usually gel them to get better conductance. And then it's connected to have a bunch of wires. It's connected to amplifiers, because this is a very, very, you know, microvolts level of signal. And we basically get all these gear up to measure electrical currents going through your scalp. What's happening is your neurons are fired, so your brain cells are firing, they create electrical charges. When different brain areas have electrodes firing together, you're going to have these waves of activity that just, you know, go through your scalp. And that's basic what we're measuring here and what people have been working on for many, many years. So what are the kind of things, the brain signals that we can engage with it? There's definitely a vast variety of things. But the two main aspects is what we call event-related potentials. And basically, this looks something like this. This is two types of brain waves. And here the idea is you're going to stimulate the brain, let's say with images or sounds. And that's going to be sort of your time zero. And then you see how the brain responds to those images. So you can have, for instance, an attention task, where you're going to ask people to, you know, pay attention to a certain target image for a while. And then you're going to have other images that are distractors. This is an example of such a thing. Spikes that you see like this one or this one are different brain event-related potentials, which is basically your brain discriminating. In this case, between target images versus distractors images, and what this allows you to do is having a measure of, you know, the neural response to attention. So for instance, if these differences are smaller, typically is associated with a worse performance on ascension. Okay. I'm not going to spend too much time with it, but I thought it was important that you guys get a bit of a background of the kind of things that we can see here. The other one is frequency analysis. And we're going to focus on this quite a bit. While this one is associated in time lock to a specific event. And basically what we do is we replicate that event many times, average it to then get this kind of wave. This is more about continuous monitoring. You can also associate with different events, but the idea here is you're picking all the signals, so basically all the electricity that you have in one of these brainwaves, and you're breaking it down by frequencies, okay, from lower frequencies, like here to higher. So you have things like, and, you know, on the floor to keep hearing the teta state, right? So that comes from increased activity within this frequency band, which is teta. This is alpha, beta and gamma. And basically what it means is, when all these, you know, different brain areas on the network are firing, what you're going to have is each aspect of that network is going to contribute at a different frequency. So you have a lot of work done on the past 56 years. In some cases more, both on frequency analysis on ERPs, and really understanding how these neural measures correlate to behavior, to things like attention, memory, you know, all sorts of cognitive performance. So when you look at a graph like this, and we're going to show you quite a bit of those, basically what you have is this is time, so it's going to start scrolling and basically it's a passive of time. And here you get the different frequency bands we are going to sort of line it up for you and go from low frequency to high frequency. So this is usually sometimes between, you know, four to seven hertz, seven to 14, about 15 to 25, 30, and this is about 30. And of course, you know, it hurts, right? So it means like how many times is cycles per second? So you have lower frequency bands, low speed and high frequency bands. I know this is not too exciting, but we will get exciting in a minute. So after, you know, being doing research for several years at different institutes at National Institute of Health, one of the things that I started feeling that, you know, was less satisfying, even though I'm still very interested in fundamental research, but was how much of those applications are coming through, right? So a lot of these brain signals, they've been known for, you know, depending on which one, 50, 30, 20 years, we know that one specific ERP, for instance, like mismatch negativity, it's, you know, reduced in schizophrenia patients in Alzheimer's patients Parkinson's. We know a lot of these things, but isn't it contained, restricted environment on a clinical setting? Because as you guys saw, there's this big EG machine connected to a bunch of amplifiers that's connected to computers, you need technical stuff to, and people to really, you know, run and record, then you need to do all of the analysis afterwards. So it's not something that could really scale. And, you know, quite frankly, we got to the point where we want to, you know, more than see papers being written and put on drawers, really want to see something, you know, moving on and be translating to society. So that drove me and a few colleagues to fund Neuroverse. And what we did is basically moving some of the things that we have discovered and created at the Salk Institute and at the University of California, San Diego, and to try to really reach, you know, somewhere beyond this bottleneck on EG and have something to be, you know, applicable for everyday life. So we sort of developed a couple of things. One of them was a different EG device. You guys have seen a little bits of it. So this is what we call the brain station. In essence, it's a fully EG system with an amplifier. It works wirelessly and connects to a smartphone or an iPad app. Using low energy Bluetooth, we have different types of sensors. Either your traditional rigid sensors like some of the guys probably seen before. We also use this technology called flexible electronics that allows us to really print this pretty much hair thin type of electrodes. We base them on a computer or a computer and that's what we're using in some of this float research. So again, I won't bother too much of the details, but this is important. The other part of it is we have a suite of applications, one of them being brain vitals, like I said, runs on smartphones or iPads, and what it does is it provides either stimulation or recording control over your device and whatever you want to do with it. So really for us, it's sort of the whole technology that we created is built on three things. Okay? So the brain interface device, the brain station, the suite of mobile apps and then very importantly, is this brain and elitics database on the server. So a lot of our work is data analysis. So everything from, you know, if you're thinking about these event related potentials, these ERPs, how you provide the stimulation is key. We need to have synchronies below 10 milliseconds from the time that your iPhone or your iPad is showing an image or a sound and how we put that timestamp on your EEG signal. But also the other aspect of it is how do you analyze the data? How do you, you know, tease apart muscle signals for all kind of other artifacts you might be picking up on? How do you really, you know, understand different cognitive aspects? So all of that comes from very different analysis procedures and algorithms that we try to understand and to perfect. One of the great things for us on this, and we've been exploring different verticals, is really getting to know more on the scale of a population based kind of approach how these things work. Ultimately, for us, the whole endeavor of neuroverse is sort of creating this idea of a multi-purpose platform when it can really create your brain interface for everyday life. So we have applications on health, of course, and this float is an extension of that. Projects going on with Parkinson's, with schizophrenia, with migraine, different sort of applications with many different partnerships on institutions and clinical centers. On the other side of things we have this consumer electronics vertical, which sort of came afterwards, where we're really looking into things like, you know, gaming, entertainment, different aspects of it. And the thing that is really interesting for us is it really allows us to get into a much broader population in terms of data collection that then feeds back into the health, right? The health is going to give you very specific clinical groups and patient groups that we know is going to have some kind of modifications that we want to understand better, but it's going to be a smaller, simple size. If you really want to be able to create brain signals and brain measures that can effectively translate into, you know, many applications in society and hopefully really help us understand neuropsychiatric disorders and neurological disorders that are really ramping up in society, especially with increase of longevity, you really need to have a large-scale population sample size. And it's not exactly like people are going to do it just for the sake of doing it. You need to provide some value for them to do it. So that's the aspect of the entertainment side of things, really helps us, you know, reaching this broader level of consumer electronics, getting the data to help us understand better what we're doing at it. So this is sort of my background pitch. Within these many things that we're doing, one that I think is more interesting, specifically relevant for this, is something we're doing with surfing. And this is actually done in collaboration with Justin as well. And again, if you want to have your brain interface for everyday life, you need to be able to do something more than then that someone's sitting on a chair, right? If you want to do it with different activities and different things. This is a project we're particularly happy about, not just because, you know, it's our system being tested and going over on, you know, an hostile environment, so to speak, and something quite radical in many ways. But, you know, we were listening yesterday to different talks and different concerns of our veterans on PTSD. So Camp Pendleton actually has an entire program, and it's not the only one in the country. Australia is doing it as well, using surf as, you know, a therapy for PTSD patients. And part of the idea that, you know, I thought this is very interesting and Justin did as well and work on this together, is how does that connect to this idea of the float? Because the one thing that is common between the two things is people relate about this as this idea of, you know, getting in the zone, getting in the flow, being very focused about something, being able to sort of abstract and detach themselves from other stimulation, and remain on that sort of more calm, relaxed state. So that's at least the basis for this. We engage in this program because there's some empirical evidence that definitely seems that, you know, surf seems to help some of these patients, and we're trying to understand better why and how. And look, for us, this is not just, you know, some intellectual, luxury curiosity that we think, oh, it's great, let's find the mechanisms. It's whatever kind of things that we think that empirically are working, being surf, being floats, being whatever. If you understand them better, then chances are we're going to be able to perfect the tools, we're going to be able to perfect the use, and whatever help is given right now, hopefully, we can increase that. So, let me show you quickly a video. So, this is Denim. It's actually one of the reporters for the show that we're doing, surfing. So, what you're going to see here is, you know, we have this GoPro linked to our system. This is the raw EG signal on the top, and here you see the breakdown on spectral analysis. So, this is close to real time, you know, basically the frame you're seeing on the video is what you see there. It's about the two seconds delay. And you'll see, you know, all of this, you'll see like this. Basically, every time that you see red, means that you have high power on that. When you see blue is a reduction of power on that frequency band. You see how power is all throughout everything here. We're missing muscle and all of the other things, together with EG brain signals. But an interesting thing is, you see how it starts, when it relaxes, it starts changing, and you really go down. So, high frequencies, like gamma and specially beta, really get reduced and you have this sort of theta and paravolpha effects. So, this is something that was really interesting to us. But of course, the one thing we want to understand, really, and try to test is, are these really reflecting your mental states? Or it's just about, you know, one specific activity that you might be doing, and does this have to do with muscles, for instance, which we know that we're going to be picking up on. So, we test a different thing. So, if you look at the left side, this is denim when it started surfing. So, early in the session, it just got into the water, maybe a couple of minutes ago, we're trying to look for the good waves. You have him just sitting on the board here. So, basically, remaining pretty much static. And in this case, you have him paddling down here. What is interesting is, you see it's two different articulatives. In one case, you know, it's physically moving, so there's a lot of muscle contribution. In the other one, it's just sitting there. But if you look at the neural representation, you see how common it is that you have all this activity within the beta frequency band and expanding into gamma. And at this point, you know, his stress is, you know, focusing on the wave, but he's not relaxed. He just started trying to unplug, but he's still pretty much connected to everything that is going on. Now, let's take a look about, you know, later in that surf session, 35, 45 minutes into it. And you get the same exact activities, right? So he's either sitting on the board or he's paddling. But now you can see, like, he's relaxed, he's laughing, he doesn't have this sort of stressed out face. And you see this, you know, clear reduction on high level frequencies and a maintenance on or the relative power on alpha and on beta being on, sorry, on teta, being much higher. And the other thing I guess I should say to keep in mind is every time you see these blobs of the red and the blue, right, it's all relative power. What we mean is, if you take whatever amount of activity involved, that is happening at that moment in time, we're looking and saying how much percentually each one of these frequencies is contributing to that, right? And that means that different neural networks are at play. So this is something we're very excited about seeing, many aspects to it. One is start giving us some insights about how activities, like, you know, surfing in this case, but of course, the logical follow-up is meditation and all these other activities can have a neural signature that can help us understand that. And the other thing is that this system actually works well, even in more sort of radical situations in the real world, being able to tease apart artifacts and see what we pick on different mental states. But then, you know, how do we get from there to floating, right? And for me, this is sort of a happenstance. And I think, you know, Justin mentioned that yesterday. But basically, we have very good common friend, Kyle Simmons, which I think gave a talk here last year. Me and Kyle go way back 2004. We're colleagues at the NIH before Kyle moved to the Libra Institute years ago. And we've been developing the system. And last year, I feel like I know Justin for my whole life, but there's really been less than a year. So last year, Kyle came to Neuroverse and we're talking, he was giving a talk in San Diego when we were discussing some of things. And he saw our system and said, you know, I need to introduce you to this guy. He's really looking for a neediest system. He's been doing it for years. You know, he wants to do, you know, he's a great guy. He came out of Caltech. He has all this cool research that he did in Interception. I said, okay. It's like, and he does this thing, you know, these float things. And I was like, now you're losing me right there, right? Look, guys, I'm not, I'm not the stereotypical kind of guy that is going to get really primed, you know, for floating on meditation. No judgment, nothing wrong with that, obviously. It's just not, you know, my normal personality is not the kind of, I'm always on edge. I'm always stressful. You know, I can't do meditation. I feel like I'm going to have a patience for it. So I'm very skeptical about all this kind of things. Obviously, my background, you know, is on a different aspect of mental processing. But, you know, talking to Justin on a phone, I was really impressed with how careful he was building his program, how structured his research was. And after a few phone calls, he really, you know, convinced me to come to Libre and, you know, check out the float tanks and see what you can do. And of course, that's problem number two. We get there and we think, oh, yeah, we have this system that we can use in real life. You know, it's very versatile. We can do all these things. But then I get there and he's showing me the tanks and we're talking about it and I said, oh, great. Okay, now we have high humidity, right? We have basically a very heavy saline solution, which really means ions on steroids, which really means that we're going to have these incredibly electrical charges within that environment, which really means that that's a problem that Justin has been having for three years, right? Is how do we get that to not connect to the sensors, not cap or amplifier, so basically, create all these artifacts due to the environment that does not allow you to read what is really going on in the brain. And then, of course, you still have to worry about water getting into your system or even more salt getting into your system. So we try to find out what we could do with it and, you know, when I got there, I'm thinking about it and Justin tells me, no, you just need to try it. And I think that, you know, when you try it, you're really going to get what we're trying to do here. I think it's going to be great. And honestly, I'm just like thinking, that's no point. So I'm like, no, that's okay, just, you know, I'll just flew in at five, it's now eight, it's all right. It's like, no, no, you've got to try this thing. And after, you know, some convincing, he told me, okay, we're going to do this. And I said, fine, 10 minutes, 15 minutes. And he goes like, no, no, no, no, no, you need to do like a 90 minute session. I said, you're out of your mind if you think that I'm going to lay there for 90 minutes. It's not going to happen, buddy. I'm going to be annoyed. I'm going to be bored. I'm just going to get out of there. And, you know, more convincing. And we ended up, you know, compromising and saying, I tell you, okay, I'll do my best to last for 45 minutes. They may or may not happen. I walk out in 10. But I'll do my best. Okay. I'll try. And then you queue me with the lights and the music after 45 minutes. So I went in and it was an amazing experience. I'm not going to go self-indulging here and what it was or it wasn't. But, you know, it was just to say that I was convinced. I was hooked with something very, very different than anything that I experienced. And in my mind really opening a lot of different possibilities. The other kind of thing that was striking to me immediately when I got out was two things. One was just this sort of almost like clean pallet for once you get out of the float that went into the shower and just, you know, just the acuity on auditory perception on visual perception was a really strong subjective experience immediately post-float. The other thing was this complete notion of losing the notion of time. So I come out and I tell Justin, you know what? You got me. I'm impressed. This is actually good. And yeah, I was able to last the 45 minutes. You know, you were right. This was great. And I started feeling the smirk in his face and it goes like you were there for over 90 minutes. So that's Justin for you. Never trust him. So look, I'm obviously preaching to the choir here in terms of what we like floating, what is it about the floats. But really, you know, for us was then, you know, embarking this mission to see, okay, how can we do this? How can we put the brain station on floating how can you really, you know, help out on this research program of measuring brain activity? Pre-post and during floating. The pre-post are no brainers. Okay. And we're doing things like the event related potentials that I show you guys. So we're having different tests for memory, for attention. And we're trying to look for benefits on pre and post. I'll tell a little bit more about it later. Similar to what you've seen Justin Saheb, Colleen presenting and Pan presenting with FMRI results, right? But the key for us here is, can we see the during? Can we actually have some kind of documentation about what's going on on this experience? What are the neural modulations? What are the signatures? What are the correlates? Or you go through these states, you know, can we build in, you know, in pioneering work done by people like Tom Fine that I'm guessing somewhere in there that I had the pleasure of meeting and did great work with it before, can we use today's technology and build on that and really try to create a window to what is, what are the neural correlates of this objective cognitive experience? And for that, we're using frequency modulation. So, basically, we're able to get the system going. This is actually, denim is the same guy that you saw surfing because you really want to compare and always experience surfing with experience floating. And what I'm going to show you guys here is again, a spectrogram. But in this case, what's going to happen is, instead of being real time that you saw before on the surfing kind of thing, what we're going to do is sort of a time lapse video. So, I don't think you can really see the numbers here. Those are actually the real time in minutes. And what we're doing is a time lapse video of, in this case, denim's experience throughout the float. So, we condensing in this case, about 60 minutes into something like 10 seconds. Because one thing to keep in mind is, in some cases, these are slow-moving patterns if you really want to see those patterns. So, we need to record continuously, get it to a decent chunk of time. But then you want a time lapse and you want to judge it in a way that it can really become apparent to you. And, you know, we're very, very excited for the first time to say, hey, this is actually working. We can actually see how your brain is modulating things while they're in the float. And thank you. We're really excited about it. Really excited. So, that's our first thing. We're saying, oh, this is great. We got it to work. And then we go, oh, what does it mean? So, like, this, all of this that I'm showing you guys is the first time we're showing it anywhere. My first visit to Libre was actually in November of last year. And we just finished analyzing this data. And this is all very, very preliminary. Okay? So, take it with a big grain of salt while setting up to do this research program. But there's a few things that I can share with you guys that we're very excited about. One is, okay, can we, you know, start looking at different people? So, what you have here is four different floaters at four different sessions. So, let's take a look at floater number one. So, typically, you start with, you know, a more high activity. And then what we're seeing is you go through a stage at about 30 minutes when you have more and more of a reduction, overall in power. And that's kind of like around this stage. And then you start having these bursts of gamma and theta. Okay? We see this in one of the floaters. And this is, by the way, somewhat naive floaters. What I mean by this is when we're talking about the experience floaters, is someone with over 100 floats, this is people with either their first float or maybe within the first three. Okay? This is one person. Let's look at another one. So, same kind of pattern. You have a high activity on the beginning, some better as well. And then within time, as in this case, he starts to relaxing, you start seeing this decrease of overall power. That's one of the stages. And then you get your bursts of theta and you get your bursts of gamma up there. So, we saw this repeatedly in over, you know, 12 people. And one thing that, you know, we're pretty excited about is when you think about this in terms of the literature. Theta, you know, the famous theta state. Okay, so number one, one thing that I'll point out is we believe, or at least what we're seeing at this point, is this is not a binary thing, right? Where you're going to go from this awake state into another state and that's it. It's a process, like anything that goes on the brain, right? Is a temporal dynamic process that keeps changing. We're trying to identify different stages of that process. Where we're seeing so far, and again, very preliminary, is that it does seem to have these stages where you have overall activity. Then you go to this depression of activity, it bakes all down and then you get into some stage where you have this gamma and theta bursts. Theta has been associated with relaxation, with meditation, with this sort of, you know, calm, relaxed states. Gamma, well, there's different theories, one of the prevalent theory that is pretty interesting has to do with visual binding or, you know, visual conscious awareness. And the idea here is, you know, as I told you before, this is a very slow signal, this is a very fast signal. And gamma people believe, or some of them, that is originated by the telomus and is this very quick from-to-back signal. And the idea here, the hypothesis, it is binding in that moment in time because it's so fast. So we're talking about, you know, 40-45 times per second. What he's doing is binding all of the different brain areas for an experience, right? I was telling you that, and that's what I did originally, that the brain has this distributed center of, you know, you're looking at, you know, high-order visual things, this is the shape, this is the color, you know, this is the feeling. And you go through all of that. All right, I need to speed up because I just got the red coming in. So the idea here is that, you know, you have to have this temporal binding and synchrony and is it maximizing sensitive state. And it's common between most of the people that we're seeing. Here's another example, and I just used this one to say, there's also variability, right? So when you see things like, you know, beta coming in, which you'll see on this person because they focus on something during the float, you're going to have this common part, but you're also going to have variability. Moreover, if you have an expert person, in this case, this is actually Justin's spectrogram, he sees that he's much faster, actually, has this big gamanteta in beta originally, then he goes more rapidly into the crease and he gets into what we're now calling this alpha, you know, moment. So different frequency bands corresponding to different neural networks. Again, some individual variation on different things. This is to give you another example of, now, same floater, two different days, this was earlier, and you get the same gamma and tetra bursts as you expect after the decrease. And then this is the same guy, but after a few floats when he's getting better, one of the things, and again, that is very preliminary, but we're excited about this. It doesn't seem to be a static thing. Experience matters and changes as you go through multiple floats, which is intuitive for what a lot of you guys, you know, report, but we seem to have it. So you see some little bursts of alpha that we see on the expert ones. We start getting that when people only go through multiple floats. When you look at more of a group analysis, we're really seeing in most cases is we didn't, you know, anywhere from 30 to 45 minutes on a floaters. You really have this decrease of energy, and especially within the high frequency bands, leaving your teta and your better things. Another thing to keep in mind is events matter. What you're doing in the float is going to change things. So here's three examples. This is a case when instead of just leaving the person free floating, we're actually doing meditation instructions at specific points in time for breeding. Right. So what do you get? Look at this, a big beta kind of coming up and gamma that time. Why? Because now this person is focusing in your instructions. So the brain is now essentially doing something else. It's not being absent for everything and just turning inwards. Now it's actually trying to pay attention to what we have. Here's another case when we're doing, you know, blood pressure cuff measurements. That's an artifact caused by it. So we need to be aware of those things when you're using this kind of systems. This is another example. We have like really decrease of low activity, even though there's some auditory stimulation, in this case, ocean waves. So I'm out of time. So here's what we're doing and what we intend to do in sort of two big points. One, of course, as I said, looking at pre and post neural modulations and see how that corresponds to the mental states. We're really interested in this all idea of temporal dynamics during floating. So if there's one thing I'd like you guys to walk out of here with is, don't think about it as a two state thing. Don't think about it as, oh, we go from whatever way to TETA. Think about it as a process that has a lot of different things. The other thing we're very interested in are their transference effects. So does some of this relaxation, meditation, these states that you have there, do they then transfer to real life in the rest of your activities? We know, again, empirically, that people are more relaxed. They seem to be happier. The whole glamour after effect. But is that really a long lasting kind of benefit? And it would be great for us to know because then we can also play out different neural feedback tools that we can use. And then this is the things to keep in mind. Individual variability is going to be there between sessions, between individuals. You need to account for that. What are the really group and population effects? Are there specialization and plasticity? So I'm happy to say that both at Lieber and with Jim at Just Float, we're putting together a full IRB research protocol about to submit it now. It takes about six months to put it together. We're looking at expert floaters, over 100 hours in float versus naive floaters. And look at effects of long-term plasticity and specialization. And then, of course, ultimately the comparison between healthy and clinical populations. We've been hearing about anorexia nervosa, PTSD, general anxiety disorders. The team at Lieber and ourselves believe that this can be really helpful, the fact of floating to a lot of these things, but we need to understand the mechanisms to make it better and create more effective tools. So without further ado, thank you all of you for your attention. And I'm very happy to meet this community. Thank you, my buddies and girls. Thank you, guys.