Amazing videos! Could u make a behind the scene and show us how u make them?

So science is finally gonna figure out alcohol basically hacks my brains bootloader. This is why I blackout and wake up in my own pjss so often. I need better antivirus.

9:23

When you were selected for shock treatment but your brother is with females and cocaine...

Thank you Mr. Kirsanov for this one and all of your other free and great representations you share here! T 👌👍

Yeah, obviously there are outliers like me I tend to remember everything. Well, if I was paying attention to it to encode the memory then yeah I’ll remember it. So I will generally remember what I ate on a given day, but you may have to jog my memory since I didn’t mentally link the day with the meal when I was eating it if that makes sense.

👏💯🇷🇺🇧🇬👌🇧🇬🇷🇺👌🇧🇬💯👏

brain? ask the designer. well it sounds like its you, but its not you.

Alright, so actually the brain is just a Variational AutoEncoder? :)

how you created such good animation?

To all the critics of internet raising concerns on social media and other ills, I raise videos like these. This is the beauty of internet! Thank you!

I don't know what is better, the information portrayed or the way in which you do so

Muchas gracias! Me ayudó mucho este vídeo ❤

I love your video

We don't know that we don't know how. Period.

Wonderfull😊

In analogy of LLM, I believe the perception is the phenomenon of encoding network. And, the thoughts, actions, and emotions triggered by the perception are phenomenon of the decoding (generative) network.

I can't wait for you to start talking about Microtubules - which is where information is actually stored long-term. Not Synapses.

I dont feel like it really answers the titel though

What is the disadvantage of using the fully connected layout at 29:20 if you make your update rule simultaneous (ie. Find dw for all weights before updating weights). As far as I know, this is not generally used bc it’s easier to get into cycles without convergence, but it seems like strategies to avoid this (like early stopping) would be better than using a restricted Boltzmann machine

This was all common sense. And yes.....pun intended....

The rat might just smell the right direction to start with anyway

Boring ass video, the only interesting part was from 0:00 to 15:41

One layer Multiple values

I just want to tell you, I’ve found your channel a year ago, and I’m going to do an md/phd, but I didn’t know what to do my bachelor since I am from Germany. Now I finally decided thanks to you, thanks to Iain McGilchrist, thanks to Dostoevsky and Karl Deisseroth to study Brain Science in the Netherlands, focusing on mathematical neuroscience. It won’t be easy for me, but I just love it already and I just want to know where consciousness comes from, where dreams come from, so on and so forth. Thanks again.

1:18 if you stop at the right angle it's literally Derpixon's logo

In Reverse this means that actively recapping a certain activity / Memory during the day makes your Brain memorize / remember it better?

This reminds me of Plato’s ideals. Maybe he wasn’t tapping into a truth about the nature of the world, but a truth about the nature of the mind. Cool stuff!

Hiperosmia ? Hiperacustia ?... no es un problema....

Hi, thank you for the great video! Are there any references for this free-energy based model?

Unless it is consciously available, it is not information. it's just causal propagations in a physical system. Information requires a user.

I am not smart enough to adapt this to a turring algorithm. I'm trying to model this in code. I can adapt from like any language. Just someone pls

10:00 could literally just be the freezing muscle, nerves as described.

Does this concept can be applied to improve llm

Thanks buddy!

AI junk.

At 12:53, it technically should be 1000000 permutations instead of combinations right, since the order matter here?

Amamzing stuff, really. But there go office workers. Welcome, dystopia. This is just inevitable.

Can you account for psychosis in your theory?

My model is close but mine is different in how we model complexity of the algorithm (brain) vs reality - and the energy is kind of the delta. But it proposes something more clean. Very informative - thank you

Stunning video, i'm simply in shock with how well you show us the content

so its but a fancy name for chain rule

Great video, Artem! Please check out Adaptive Resonance Theory. It's not the easiest field to get into because it started as a psychological theory that morphed into neuroscience and network modeling, but it tackles exactly the problem of how to learn stable percepts over a brain's lifetime while mitigating the catastrophic forgetting of overwriting previous priors. The fundamental mechanism is that a common network motif in the brain is a feedforward activation that is modulated by feedback expectancy; network resonance (agreement) between the two allows both to update in a Hebbian way, while sufficient disagreement triggers other mechanisms like reset, search, etc. The theory is really broad in the problems that it tackles, but the core questions concern exactly the topics of this video, such as how quick recognition can occur in complex, noisy scenarios (such as with occlusion) while also learning new information quickly (despite neurons' slow weight changes) without overwriting previous knowledge. The subject matter steps above the layer of the neuron to ask "what are the minimal neural circuits that achieve these evolutionarily-driven goals." This older paper by David Hestenes (actually a physicist and educator) is the best paper I've read from an outsider's perspective as a starting point to the theory: www.researchgate.net/profile/David-Hestenes/publication/291604044_How_the_Brain_Works_The_Next_Great_Scientific_Revolution/links/5cb4c92ba6fdcc1d49978dc8/How-the-Brain-Works-The-Next-Great-Scientific-Revolution.pdf Stephen Grossberg and Gail Carpenter spearheaded this work in neuroscience and applications in ML, so their writing is authoritative, but I commiserate that there is a lot of material that can be tough to penetrate at times, which is why I suspect it hasn't gotten as much attention as I believe that it deserves.

Subscribed! Keep the relatable analogies coming for us common folks to understand. Great video as always.

i feel like a computer .... a quantum kind

Khm... Its Buzsáki György.

I fully believe this prediction idea is fundamental to how we think. But to say that all our perceptions are generated by a predictive brain system can be disproven by anyone who can make photorealistic drawings. We may not make use of it all the time, but we obviously have access to direct sensory data.

Another superb video. You, sir, are a fantastic researcher and presenter. Despite all its valleys, this right here is use of the Internet at its absolute peak. You inspire me to self-study computational neuroscience not for any inherent utility, but to scratch the itch of human curiosity. Thank you for what you do!

After using (custom) sensory expansion technologies for a while, I'll get predictive echoes of sensory signals that my mind patches in briefly when *not* using the tech, when other senses pick up that it should have signaled for it over the expansion tech - a perhaps similar mechanism mentally at play underneath as with hallucinations in terms of what it uses to present predictions to the mind, not the origin of cause (as actual hallucinations within our generated world models would have different triggers and sustains I imagine, not having them myself to explore unless sleep deprived) That plus the general concepts of sensory substitution/expansion/addition (or sensory weaving as I've been calling it) point towards a generative model pulled from predictions, abstracts in memory, because of how these senses have to integrate into an experience of qualia over time. It isn't just like learning a skill, it is experientially predictive! (N=1, subjective experience so truckload of salt with that) Theres a *lot* of extra signals to thread in (seemingly infinite sources, real or constructed), but the things we can observe with this process by adding in new senses, can reveal a lot more I think, in terms of how the mind constructs not just sensory experiences but general cognitive ones as well. For example, a blind person cannot visualize, cognize in similar manners as sighted individuals - so also for tech which can alter senses, which modified our models of the world, which modifies the predictive patterns, pathways it can take to different destinations mentally, in idea spaces traveled to by altering our predictions and perspectives of reality and internal models. Going back to the first thing of false predictions - I wonder if this has similar ties with things like people with synesthesia of types where they hear sounds for visuals, for example. (Ball bouncing, drops falling or springs making sounds and so on) Associations from other modalities bringing up models in the mind and playing them before getting sensory confirmation from external. Minds are so weird, and so is reality so time to get rambunctious and explore these perspectives we have into reality from them over the coming years hopefully :) Neosensory has what, 70 things in the works? Gonna be a wild world we inhabit someday cognitively and perceptually when this sort of perceptual manifold modification tech is mainstreamed.

All nonsense -- all just postulations and suppositions based on "the latest theories" .. which, ironically, contradict the previous decade's theories and "evidence". In fact, no real-time neurological evidence exists for all these brain narratives. And narratives they are ... stories they "think" are happening because they can observe, measure and map a few things with various types of scanning. The rest is just filling in the gaps with conjecture, but then presenting it as fact. What's more, all this brain research is pure physiological fatalism -- ie, the brain does this and that without our interference. Bullshit. Human free will and cognitive CHOICES via our different levels of consciousness can direct and overide all this brain chemistry. In other words, one can choose how deeply or superficially, temporarily or permanently, events (ie, memories) are stored. It is not just some predestined, mechanistic "program", as has been presented here. For example, if I wish, I can intentionally "file" what I had for breakfast today to be a recallable memory in 1, 10, 100 weeks. Or I can choose to bury a traumatic event which might be non-recallable except under hypnosis. Alternatively, I could also manufacture some false scenario which, under intense cross-examination, seems totally real to me but which was never an actual stored event. What does all this brain chemistry have to say about that, eh? Summary: all these brain researchers still do not yet have a fkn clue how memory really works. All they have is a thirst for more funding to prop up their pet theories and published egos.