Reliability and information transmission in spiking neurons

William Bialek, Fred Rieke

Research output: Contribution to journalReview article

120 Scopus citations

Abstract

Spiking neurons encode continuous, time-varying signals in sequences of identical action potentials. Relatively simple algorithms allow one to 'decode' this neural representation of sensory data to estimate the input signals. Decoding experiments provide a quantitative characterization of information transmission and computational reliability under real-time conditions. The results of these studies show that neural coding and computation in several systems approach fundamental physical and informational theoretic limits to performance.

Original languageEnglish (US)
Pages (from-to)428-434
Number of pages7
JournalTrends in Neurosciences
Volume15
Issue number11
DOIs
StatePublished - Nov 1992

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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