Neuroscience thought problem: Someone gives you simultaneously recorded spike trains (ms resolution) from every neuron in a region of the brain under multiple task conditions. No connectome. What analysis tools do you deploy to study mechanisms by which circuits support behavior?
I guess I’m very sympathetic to that as an approach to improve AI (see recent Tolias paper) but not necessarily as heavily constraining “mechanism”... though one *could* get lucky if one can converge into the right equivalence class of mechanism by fitting enough data...
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How much data would be enough? (As if anyone knows!) My motivating question assumed access to activity by every neuron in a region of the brain under many different behavioral conditions. Data from multiple regions could only help, obvs.
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A probably under-appreciated aspect of our present predicament. Yes, DL is just fitting. But, if you fit *enough* real neurons, behavior, functional performance, arch constraints... you’ll at least get some interesting partial clone of the comp’s that evolution & culture built.
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