Charan Ranganath

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.

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.

Mice and rats explore the world largely through smelling, olfaction, but they also have vision that's designed to catch death from above. So it's like a very big view of the world. And we move our eyes around in a way that focuses on particular spots in space where you get very high resolution from a very limited set of spots in space. So that makes us very different in that way.

Mice and rats explore the world largely through smelling, olfaction, but they also have vision that's designed to catch death from above. So it's like a very big view of the world. And we move our eyes around in a way that focuses on particular spots in space where you get very high resolution from a very limited set of spots in space. So that makes us very different in that way.

Mice and rats explore the world largely through smelling, olfaction, but they also have vision that's designed to catch death from above. So it's like a very big view of the world. And we move our eyes around in a way that focuses on particular spots in space where you get very high resolution from a very limited set of spots in space. So that makes us very different in that way.

We also have all these other structures as social animals that allow us to respond differently. There's language. So you name it, there's obviously gobs of differences. Humans aren't just giant rats. There's a bunch more complexity to us. Time scales are very important.

We also have all these other structures as social animals that allow us to respond differently. There's language. So you name it, there's obviously gobs of differences. Humans aren't just giant rats. There's a bunch more complexity to us. Time scales are very important.

We also have all these other structures as social animals that allow us to respond differently. There's language. So you name it, there's obviously gobs of differences. Humans aren't just giant rats. There's a bunch more complexity to us. Time scales are very important.

So primate brains and human brains are especially good at integrating and holding on to information across longer and longer periods of time, right? And also, you know, finally, it's like our history of training data, so to speak, is very, very different than, you know, I mean, a human's world is very different than a wild mouse's world.

So primate brains and human brains are especially good at integrating and holding on to information across longer and longer periods of time, right? And also, you know, finally, it's like our history of training data, so to speak, is very, very different than, you know, I mean, a human's world is very different than a wild mouse's world.

So primate brains and human brains are especially good at integrating and holding on to information across longer and longer periods of time, right? And also, you know, finally, it's like our history of training data, so to speak, is very, very different than, you know, I mean, a human's world is very different than a wild mouse's world.

And a lab mouse's world is extraordinarily impoverished relative to an adult human.

And a lab mouse's world is extraordinarily impoverished relative to an adult human.

And a lab mouse's world is extraordinarily impoverished relative to an adult human.

Well, yes, but that's very important, right? So you can understand, for instance, how do neurons talk to each other? That's a really big, big question. Neural computation, you'd think it's the most simple question, right? Not at all. I mean, it's a big, big question. And understanding how two parts of the brain interact, meaning that it's not just one area speaking.

Well, yes, but that's very important, right? So you can understand, for instance, how do neurons talk to each other? That's a really big, big question. Neural computation, you'd think it's the most simple question, right? Not at all. I mean, it's a big, big question. And understanding how two parts of the brain interact, meaning that it's not just one area speaking.

Well, yes, but that's very important, right? So you can understand, for instance, how do neurons talk to each other? That's a really big, big question. Neural computation, you'd think it's the most simple question, right? Not at all. I mean, it's a big, big question. And understanding how two parts of the brain interact, meaning that it's not just one area speaking.

It's not like Twitter where one area of the brain is shouting and then another area of the brain is just stuck listening to this crap. It's like they're actually interacting on the millisecond scale, right? How does that happen? And how do you regulate those interactions, these dynamic interactions? interactions.

It's not like Twitter where one area of the brain is shouting and then another area of the brain is just stuck listening to this crap. It's like they're actually interacting on the millisecond scale, right? How does that happen? And how do you regulate those interactions, these dynamic interactions? interactions.

It's not like Twitter where one area of the brain is shouting and then another area of the brain is just stuck listening to this crap. It's like they're actually interacting on the millisecond scale, right? How does that happen? And how do you regulate those interactions, these dynamic interactions? interactions.