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BI 027 Ioana Marinescu & Konrad Kording: Causality in Quasi-Experiments

BI 027 Ioana Marinescu & Konrad Kording: Causality in Quasi-Experiments

BI 027 Ioana Marinescu & Konrad Kording: Causality in Quasi-Experiments

 
 
00:00 / 01:20:04
 
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Ioana, Konrad, and I talk about ways causality can be inferred using data from quasi-experiments, the role economics and econometrics has played, causality in AI, some of the ins and outs of marriage in academia, and plenty more.

BI 026 Kendrick Kay: A Model By Any Other Name

BI 026 Kendrick Kay: A Model By Any Other Name

BI 026 Kendrick Kay: A Model By Any Other Name

 
 
00:00 / 01:22:30
 
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Kendrick and I discuss his models that predict how the human brain responds to pictures of faces and words, how we make decisions about those pictures, and how our brain gears up for such tasks. We also discuss models in general- what they are, how we should judge them, and so on, plus a few of his other projects and…. wait for it… lots more.

BI 025 John Krakauer: Understanding Cognition

BI 025 John Krakauer: Understanding Cognition

BI 025 John Krakauer: Understanding Cognition

 
 
00:00 / 01:46:16
 
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John and I discuss how understanding behaviors first will improve understanding how brains generate those behaviors, the state of neuroscience, plus the role of philosophy in science, lots of resources along those lines, and lots more.

BI 024 Tim Behrens: Cognitive Maps

BI 024 Tim Behrens: Cognitive Maps

BI 024 Tim Behrens: Cognitive Maps

 
 
00:00 / 01:09:27
 
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Tim and I discuss his work suggesting grid cell-like coding could provide a map for us to navigate abstract concepts in our minds – a cognitive map. We talk about the discovery of place cells and grid cells and the work suggesting they contribute to spatial navigation. We also touch on how Tim’s work is related to meta-reinforcement learning (a la Matt Botvinick, see episode 21), and how grid cell codes might contribute to AI systems moving forward.

BI 023 Marcel van Gerven: Mind Decoding with GANs

BI 023 Marcel van Gerven: Mind Decoding with GANs

BI 023 Marcel van Gerven: Mind Decoding with GANs

 
 
00:00 / 01:04:05
 
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Marcel and I discuss his recent work using generative adversarial networks to decode brain activity to reconstruct images people saw, his work to restore vision to blind humans by stimulating early visual cortex, general AI, and even — shutter — consciousness a bit.