Charan Ranganath

And you could basically tie them all together by virtue of the state spaces that you're measuring in neural activity, in these different formats, in these different species, and in the computational model, which I just find that mind-blowing. You could do... different kinds of analyses on language and basically come up with... Basically, it's the guts of LLMs, right?

You could do analyses on language, and you could do analyses on sentiment analyses of emotions and so forth, and put all this stuff together. I mean, it's almost too much, but... If you do it right and you do it in a theory-driven way, as opposed to just throwing all the data at the wall and see what sticks, I mean, that to me is just exceptionally powerful.

You could do analyses on language, and you could do analyses on sentiment analyses of emotions and so forth, and put all this stuff together. I mean, it's almost too much, but... If you do it right and you do it in a theory-driven way, as opposed to just throwing all the data at the wall and see what sticks, I mean, that to me is just exceptionally powerful.

You could do analyses on language, and you could do analyses on sentiment analyses of emotions and so forth, and put all this stuff together. I mean, it's almost too much, but... If you do it right and you do it in a theory-driven way, as opposed to just throwing all the data at the wall and see what sticks, I mean, that to me is just exceptionally powerful.

Yeah. Yeah. I mean, more or less, I mean, there's a lot of details, but yes, I think, and not just fMRI, but you can relate it to, like I said, recordings from large populations of neurons that could be taken in a human or even in a non-human animal that is, you know, where you think it's an anatomical homologue. So that's just mind blowing to me.

Yeah. Yeah. I mean, more or less, I mean, there's a lot of details, but yes, I think, and not just fMRI, but you can relate it to, like I said, recordings from large populations of neurons that could be taken in a human or even in a non-human animal that is, you know, where you think it's an anatomical homologue. So that's just mind blowing to me.

Yeah. Yeah. I mean, more or less, I mean, there's a lot of details, but yes, I think, and not just fMRI, but you can relate it to, like I said, recordings from large populations of neurons that could be taken in a human or even in a non-human animal that is, you know, where you think it's an anatomical homologue. So that's just mind blowing to me.

Despite all of your rage at GIFs, you're still just a rat in a cage.

Despite all of your rage at GIFs, you're still just a rat in a cage.

Despite all of your rage at GIFs, you're still just a rat in a cage.

Good callback. See, these memory retrieval exercises I'm doing are actually helping you build a lasting memory of this conversation.

Good callback. See, these memory retrieval exercises I'm doing are actually helping you build a lasting memory of this conversation.

Good callback. See, these memory retrieval exercises I'm doing are actually helping you build a lasting memory of this conversation.

Yeah, yeah. So, okay. So, let's go to the... So, I think I've got great colleagues who I talk to who study memory in mice, and there's some... One of the valuable things in those models is you can study neural circuits in an enormously targeted way because you could do these genetic studies, for instance, where you can manipulate...

Yeah, yeah. So, okay. So, let's go to the... So, I think I've got great colleagues who I talk to who study memory in mice, and there's some... One of the valuable things in those models is you can study neural circuits in an enormously targeted way because you could do these genetic studies, for instance, where you can manipulate...

Yeah, yeah. So, okay. So, let's go to the... So, I think I've got great colleagues who I talk to who study memory in mice, and there's some... One of the valuable things in those models is you can study neural circuits in an enormously targeted way because you could do these genetic studies, for instance, where you can manipulate...

particular groups of neurons, and it's just getting more and more targeted to the point where you can actually turn on a particular kind of memory just by activating a particular set of neurons that was active during an experience, right? So... There's a lot of conservation of some of these neural circuits across evolution in mammals, for instance.

particular groups of neurons, and it's just getting more and more targeted to the point where you can actually turn on a particular kind of memory just by activating a particular set of neurons that was active during an experience, right? So... There's a lot of conservation of some of these neural circuits across evolution in mammals, for instance.

particular groups of neurons, and it's just getting more and more targeted to the point where you can actually turn on a particular kind of memory just by activating a particular set of neurons that was active during an experience, right? So... There's a lot of conservation of some of these neural circuits across evolution in mammals, for instance.

And then some people would even say that there's genetic mechanisms for learning that are conserved even going back far, far before evolution. But let's go back to the mice and humans question. There's a lot of differences. So for one thing, the sensory information is very different.