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Charan Ranganath

๐Ÿ‘ค Speaker
3063 total appearances

Appearances Over Time

Podcast Appearances

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then things start to get really complicated.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then things start to get really complicated.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

Yeah, yeah. I mean, well, even if we want to go super simple, right? Like Tyler Bonin, who's a postdoc who's collaborating with me, he actually studied a lot of computer vision at Stanford. And so one of the things he was interested in is some people who have brain damage in areas of the brain that were thought to be important for memory.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

Yeah, yeah. I mean, well, even if we want to go super simple, right? Like Tyler Bonin, who's a postdoc who's collaborating with me, he actually studied a lot of computer vision at Stanford. And so one of the things he was interested in is some people who have brain damage in areas of the brain that were thought to be important for memory.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

Yeah, yeah. I mean, well, even if we want to go super simple, right? Like Tyler Bonin, who's a postdoc who's collaborating with me, he actually studied a lot of computer vision at Stanford. And so one of the things he was interested in is some people who have brain damage in areas of the brain that were thought to be important for memory.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But they also seem to have some perception problems with particular kinds of object perception. And this is super controversial. Some people found this effect, some didn't. And he went back to computer vision and he said, let's take the best state-of-the-art computer vision models and let's give them the same kinds of perception tests that we were giving to these people. Mm-hmm.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But they also seem to have some perception problems with particular kinds of object perception. And this is super controversial. Some people found this effect, some didn't. And he went back to computer vision and he said, let's take the best state-of-the-art computer vision models and let's give them the same kinds of perception tests that we were giving to these people. Mm-hmm.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But they also seem to have some perception problems with particular kinds of object perception. And this is super controversial. Some people found this effect, some didn't. And he went back to computer vision and he said, let's take the best state-of-the-art computer vision models and let's give them the same kinds of perception tests that we were giving to these people. Mm-hmm.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he would find the images where the computer vision models would just struggle, and you would find that they just didn't do well. Even if you add more parameters, you add more layers, on and on and on, it doesn't help, right? The architecture didn't matter, it was just there, the problem.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he would find the images where the computer vision models would just struggle, and you would find that they just didn't do well. Even if you add more parameters, you add more layers, on and on and on, it doesn't help, right? The architecture didn't matter, it was just there, the problem.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he would find the images where the computer vision models would just struggle, and you would find that they just didn't do well. Even if you add more parameters, you add more layers, on and on and on, it doesn't help, right? The architecture didn't matter, it was just there, the problem.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he found those were the exact ones where these humans with particular damage to this area called the perirhinal cortex, that was where they were struggling. So somehow this brain area was important for being able to do these things that were adversarial to these computer vision models. So then he found that it only happened if people had enough time they could make those discriminations.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he found those were the exact ones where these humans with particular damage to this area called the perirhinal cortex, that was where they were struggling. So somehow this brain area was important for being able to do these things that were adversarial to these computer vision models. So then he found that it only happened if people had enough time they could make those discriminations.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

And then he found those were the exact ones where these humans with particular damage to this area called the perirhinal cortex, that was where they were struggling. So somehow this brain area was important for being able to do these things that were adversarial to these computer vision models. So then he found that it only happened if people had enough time they could make those discriminations.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But without enough time, if they just get a glance, they're just like the computer vision models. So then what he started to say was, well, maybe let's look at people's eyes, right? So a computer vision model sees every pixel all at once, right? It's not, you know, and we don't, we never see every pixel all at once. Even if I'm looking at a screen with pixels, I'm not seeing every pixel at once.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But without enough time, if they just get a glance, they're just like the computer vision models. So then what he started to say was, well, maybe let's look at people's eyes, right? So a computer vision model sees every pixel all at once, right? It's not, you know, and we don't, we never see every pixel all at once. Even if I'm looking at a screen with pixels, I'm not seeing every pixel at once.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

But without enough time, if they just get a glance, they're just like the computer vision models. So then what he started to say was, well, maybe let's look at people's eyes, right? So a computer vision model sees every pixel all at once, right? It's not, you know, and we don't, we never see every pixel all at once. Even if I'm looking at a screen with pixels, I'm not seeing every pixel at once.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

I'm grabbing little points on the screen by moving my eyes around and getting a very high resolution picture of what I'm focusing on and kind of a lower resolution information about everything else.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

I'm grabbing little points on the screen by moving my eyes around and getting a very high resolution picture of what I'm focusing on and kind of a lower resolution information about everything else.

Lex Fridman Podcast
#430 โ€“ Charan Ranganath: Human Memory, Imagination, Deja Vu, and False Memories

I'm grabbing little points on the screen by moving my eyes around and getting a very high resolution picture of what I'm focusing on and kind of a lower resolution information about everything else.