here’s a conjecture: biological learning is never unsupervised. Rather, its goal is to learn representations that are useful for future behavior. @AstroKatie @AToliasLab @danilobzdok
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yes, that is my point that it is weird phrasing. you are a tiger and you just attached a rhino and didn't kill it. now, you are watching the rhino, without "labeled data". why? to build a better model *that enables you to act better in the future attack*.
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i guess my point is: calling it unsupervised is a bit misleading, it has a specific goal, and it uses past training data to get better at that goal, not simply "learn a parsimonious model" for its own sake.
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For example, how about retinal waves? They seem to be important for wiring up the visual system, but occur so early in development (definitely before eye-opening in mouse pups and in utero too, I think) that it's not clear to me where the supervision could possibly come from.
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