Spike-time reliability of periodically driven integrate-and-fire neurons

P. H.E. Tiesinga, J. M. Fellous, T. J. Sejnowski

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

The response of model neurons driven by a periodic current converges onto mode-locked attractors. Reliability, defined as the noise stability of the attractor, was studied as a function of the drive frequency and noise strength. For weak noise, the neuron remained on one attractor and reliability was high. For intermediate noise strength, transitions between attractors occurred. For strong noise, mode locking became unstable. The attractor was most stable for frequencies for which the neuron produced one spike on each cycle. The prediction of a reliability resonance as a function of drive frequency has been observed in vitro in cortical neurons.

Original languageEnglish (US)
Pages (from-to)195-200
Number of pages6
JournalNeurocomputing
Volume44-46
DOIs
StatePublished - Jul 27 2002
Externally publishedYes

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Keywords

  • Neural code
  • Oscillation
  • Phase locking
  • Precision

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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