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

P. H E Tiesinga, Jean-Marc Fellous, T. J. Sejnowski

Research output: Contribution to journalArticle

11 Citations (Scopus)

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 - 2002
Externally publishedYes

Fingerprint

Neurons
Noise
Fires
Laser mode locking

Keywords

  • Neural code
  • Oscillation
  • Phase locking
  • Precision

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

Spike-time reliability of periodically driven integrate-and-fire neurons. / Tiesinga, P. H E; Fellous, Jean-Marc; Sejnowski, T. J.

In: Neurocomputing, Vol. 44-46, 2002, p. 195-200.

Research output: Contribution to journalArticle

Tiesinga, P. H E ; Fellous, Jean-Marc ; Sejnowski, T. J. / Spike-time reliability of periodically driven integrate-and-fire neurons. In: Neurocomputing. 2002 ; Vol. 44-46. pp. 195-200.
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