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.
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Support the show to get full episodes and join the Discord community. Hakwan and I discuss many of the topics in his new book,...
Show Notes: Nando’s CIFAR page.Follow Nando on Twitter: @NandoDF He's giving a keynote address at Cognitive Computational Neuroscience Meeting 2020.Check out his famous machine...
Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large...
