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.
Show notes: Websites: Ioana Marinescu, Konrad KordingTwitter: Twitter: @mioana; @KordingLabThe paper we discuss: Quasi-experimental causality in neuroscience and behavioral research.A Pre-print version. Judea Pearl’s...
Steve and I discuss his long and productive career as a theoretical neuroscientist. We cover his tried and true method of taking a large...
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