Galit and I discuss the independent roles of prediction and explanation in scientific models, their history and eventual separation in the philosophy of science, how they can inform each other, and how statisticians like Galit view the current deep learning explosion.
Mentioned in the show: The paper we discuss: How biological attention mechanisms improve task performance in a large-scale visual system model. Follow Grace on...
Show notes: Máté’s Cambridge website.He’s part of the Computational Learning and Memory Group there.Here’s his webpage at Central European University.A review to introduce his...
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