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Abstract: Here we derive optimal gain functions for minimum mean square reconstruction from neural rate responses subjected to Poisson noise. The shape of these functions strongly depends on the length of the time window within which spikes are counted in order to estimate the underlying firing rate. A phase transition towards pure binary encoding occurs if the maximum mean spike count becomes smaller than approximately three provided the minimum firing rate is zero. For a particular function... (Update)
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BibTeX entry: (Update)
@misc{ high-binary,
author = "Coding With High",
title = "Binary Tuning is Optimal for Neural Rate",
url = "citeseer.ist.psu.edu/741927.html" }
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