Optimal information transfer in synchronized neocortical neurons

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

Research output: Contribution to journalArticle

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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 1 2001
Externally publishedYes

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Keywords

  • Information theory
  • Oscillation
  • Phase locking
  • Precision

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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