The effects of input rate and synchrony on a coincidence detector: analytical solution

Authors:
Shawn Mikula;Ernst Niebur
Affiliations:
Zanvyl Krieger Mind/Brain Institute and Department of Neuroscience, John Hopkins University, Baltimore, MD;Zanvyl Krieger Mind/Brain Institute and Department of Neuroscience, John Hopkins University, Baltimore, MD
Venue:
Neural Computation
Year:
2003

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Abstract

We derive analytically the solution for the output rate of the ideal coincidence detector. The solution is for an arbitrary number of input spike trains with identical binomial count distributions (which includes Poisson statistics as a special case) and identical arbitrary pairwise crosscorrelations, from zero correlation (independent processes) to complete correlation (identical processes).