Liam Paninski

The neural coding problem is perhaps the fundamental question in systems neuroscience: given some input stimulus (or movement, or thought, etc.), what is the conditional probability of a neural response? The roadblock is that we want to know about these response probabilities given any possible input, and there are typically more such inputs than we can ever hope to sample. Thus the neural coding problem is at heart actually a statistics problem: given a finite number of samples of physiological data, how do we learn the neural codebook?

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