Least Informative Dimensions

NeurIPS 2013 Fabian SinzAnna StocklJan GreweJan Benda

We present a novel non-parametric method for finding a subspace of stimulus features that contains all information about the response of a system. Our method generalizes similar approaches to this problem such as spike triggered average, spike triggered covariance, or maximally informative dimensions... (read more)

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