Entropy and Information in Neural Spike Trains

dc.creatorStrong, S. P.
dc.creatorKoberle, Roland
dc.creatorvan Steveninck, Rob R. de Ruyter
dc.creatorBialek, William
dc.date1996-03-18
dc.date1997-06-27
dc.date.accessioned2026-07-07T09:02:26Z
dc.date.available2026-07-07T09:02:26Z
dc.descriptionThe nervous system represents time-dependent signals in sequences of discrete action potentials or spikes, all spikes are identical so that information is carried only in the spike arrival times. We show how to quantify this information, in bits, free from any assumptions about which features of the spike train or input waveform are most important. We apply this approach to the analysis of experiments on a motion-sensitive neuron in the fly visual system.
dc.description5 pages, 4 figures, RevTex multicolumn, includes epsfig.sty, epsf.tex revised discussion and some new results
dc.identifierhttps://arxiv.org/abs/cond-mat/9603127
dc.identifierhttp://arxiv.org/abs/cond-mat/9603127
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/148629
dc.subjectCondensed Matter
dc.subjectNeurons and Cognition
dc.titleEntropy and Information in Neural Spike Trains
dc.typetext

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