Probabilistic models for spike trains of single neurons


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)


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@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} }