On the application of information theory to neural spike trains.

S. P. Strong, R. R. de Ruyter van Steveninck, William Bialek, R. Koberle

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The nervous system represents time-dependent signals in sequences of discrete action potentials or 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 variety of systems, including some where we confront severe sampling problems, and discuss some to the results obtained and hopes for future extensions.

Original languageEnglish (US)
Pages (from-to)621-632
Number of pages12
JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
StatePublished - Jan 1 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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