Optimal information transfer in synchronized neocortical neurons

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

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The output precision and information transmission was studied in a model neocortical neuron that was driven by a periodic presynaptic spike train with a variable number of inhibitory inputs on each cycle. Spike-timing precision was maintained during feedforward propagation during entrainment. The range of presynaptic firing rates and precision for entrainment was determined. During entrainment the Shannon information of the output spike phase was reduced but the amount of information the neuron transmitted about the synaptic input was increased. We quantify how robust information transmission is against intrinsic neuronal noise. We propose how neuromodulation, via entrainment, can regulate the information transfer in neocortical networks.

Original languageEnglish (US)
Pages (from-to)397-402
Number of pages6
JournalNeurocomputing
Volume38-40
DOIs
StatePublished - Jun 2001
Externally publishedYes

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Neurons
Noise

Keywords

  • Information theory
  • Oscillation
  • Phase locking
  • Precision

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

Optimal information transfer in synchronized neocortical neurons. / Tiesinga, P. H E; Fellous, Jean-Marc; José, J. V.; Sejnowski, T. J.

In: Neurocomputing, Vol. 38-40, 06.2001, p. 397-402.

Research output: Contribution to journalArticle

Tiesinga, P. H E ; Fellous, Jean-Marc ; José, J. V. ; Sejnowski, T. J. / Optimal information transfer in synchronized neocortical neurons. In: Neurocomputing. 2001 ; Vol. 38-40. pp. 397-402.
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