Probabilistic models for spike trains of single neurons

Abstract

The primary mode of information transmission in neural networks is unknown: is it a rate code or a timing code? Assuming that presynaptic spike trains are stochastic and a rate code is used, probabilistic models of spiking can reveal properties of the neural computation performed at the level of single neurons. Here we show that depending on the… (More)

Topics

15 Figures and Tables

Cite this paper

@inproceedings{Pachitariu2010ProbabilisticMF, title={Probabilistic models for spike trains of single neurons}, author={Marius Pachitariu and Carlos D. Brody and Joseph K. Jun and Philip Holmes}, year={2010} }