Stochastic synchronization in finite size spiking networks

Brent Doiron, John Rinzel, Alex Reyes

Research output: Contribution to journalArticle

Abstract

We study a stochastic synchronization of spiking activity in feedforward networks of integrate-and-fire model neurons. A stochastic mean field analysis shows that synchronization occurs only when the network size is sufficiently small. This gives evidence that the dynamics, and hence processing, of finite size populations can be drastically different from that observed in the infinite size limit. Our results agree with experimentally observed synchrony in cortical networks, and further strengthen the link between synchrony and propagation in cortical systems.

Original languageEnglish (US)
Article number030903
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume74
Issue number3
DOIs
StatePublished - 2006

Fingerprint

spiking
Synchrony
synchronism
Synchronization
Feedforward Networks
Population Size
Mean Field
Neuron
Integrate
Propagation
neurons
propagation
Model
Evidence

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Cite this

Stochastic synchronization in finite size spiking networks. / Doiron, Brent; Rinzel, John; Reyes, Alex.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 74, No. 3, 030903, 2006.

Research output: Contribution to journalArticle

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