Charan Ranganath
๐ค SpeakerAppearances Over Time
Podcast Appearances
Because maybe when I'm remembering this thing, like I'm remembering the house where I grew up, I might have one pixel that's bright in the hippocampus and one that's dark. And if I'm remembering something more like the car that I used to drive when I was 16, I might see the opposite pattern where a different pixel is bright.
Because maybe when I'm remembering this thing, like I'm remembering the house where I grew up, I might have one pixel that's bright in the hippocampus and one that's dark. And if I'm remembering something more like the car that I used to drive when I was 16, I might see the opposite pattern where a different pixel is bright.
Because maybe when I'm remembering this thing, like I'm remembering the house where I grew up, I might have one pixel that's bright in the hippocampus and one that's dark. And if I'm remembering something more like the car that I used to drive when I was 16, I might see the opposite pattern where a different pixel is bright.
And so all that little stuff that we used to think of noise, we can now think of almost like a QR code for memory, so to speak, where different memories have a different little pattern.
And so all that little stuff that we used to think of noise, we can now think of almost like a QR code for memory, so to speak, where different memories have a different little pattern.
And so all that little stuff that we used to think of noise, we can now think of almost like a QR code for memory, so to speak, where different memories have a different little pattern.
pattern of bright pixels and dark pixels and so this really revolutionized my research so there's fancy research out there where people really i mean not even that i mean by your standards would be stone age but you know applying machine learning techniques to do decoding and so forth and now there's a lot of forward encoding models and you can go to town with this stuff right so
pattern of bright pixels and dark pixels and so this really revolutionized my research so there's fancy research out there where people really i mean not even that i mean by your standards would be stone age but you know applying machine learning techniques to do decoding and so forth and now there's a lot of forward encoding models and you can go to town with this stuff right so
pattern of bright pixels and dark pixels and so this really revolutionized my research so there's fancy research out there where people really i mean not even that i mean by your standards would be stone age but you know applying machine learning techniques to do decoding and so forth and now there's a lot of forward encoding models and you can go to town with this stuff right so
And I'm much more old school of designing experiments where you basically say, okay, here's a whole web of memories that overlap in some way, shape, or form. Do memories that occurred in the same place have a similar QR code? And do memories that occurred in different places have a different QR code?
And I'm much more old school of designing experiments where you basically say, okay, here's a whole web of memories that overlap in some way, shape, or form. Do memories that occurred in the same place have a similar QR code? And do memories that occurred in different places have a different QR code?
And I'm much more old school of designing experiments where you basically say, okay, here's a whole web of memories that overlap in some way, shape, or form. Do memories that occurred in the same place have a similar QR code? And do memories that occurred in different places have a different QR code?
And you can just use things like correlation coefficients or cosine distance to measure that stuff, right? Super simple, right? And so what happens is you can start to get a whole state space of how a brain area is indexing all these different memories.
And you can just use things like correlation coefficients or cosine distance to measure that stuff, right? Super simple, right? And so what happens is you can start to get a whole state space of how a brain area is indexing all these different memories.
And you can just use things like correlation coefficients or cosine distance to measure that stuff, right? Super simple, right? And so what happens is you can start to get a whole state space of how a brain area is indexing all these different memories.
And it's super fascinating because what we could see is this little like separation between how certain brain areas are processing memory for who was there. And other brain areas are processing information about where it occurred or the situation that's kind of unfolding. And some are giving you information about what are my goals that are involved and so forth.
And it's super fascinating because what we could see is this little like separation between how certain brain areas are processing memory for who was there. And other brain areas are processing information about where it occurred or the situation that's kind of unfolding. And some are giving you information about what are my goals that are involved and so forth.
And it's super fascinating because what we could see is this little like separation between how certain brain areas are processing memory for who was there. And other brain areas are processing information about where it occurred or the situation that's kind of unfolding. And some are giving you information about what are my goals that are involved and so forth.
And the hippocampus is just putting it all together into these unique things that just are about when and where it happened.
And the hippocampus is just putting it all together into these unique things that just are about when and where it happened.