Uri and I discuss his recent perspective that conceives of brains as super-over-parameterized models that try to fit everything as exactly as possible rather than trying to abstract the world into usable models. He was inspired by the way artificial neural networks overfit data when they can, and how evolution works the same way on a much slower timescale.
Show notes:
Art by Julia Kuhl: http://www.somedonkey.com/ Show notes: Check out Anne's lab website.Follow her on twitter: @anne_churchlandAnne's List, the list of female systems neuroscientists to...
Dileep and I discuss his theoretical account of how the thalamus and cortex work together to implement visual inference. We talked previously about his...
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