Role of network dynamics in shaping spike timing reliability

Maxim Bazhenov, Nikolai F. Rulkov, Jean-Marc Fellous, Igor Timofeev

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

We study the reliability of cortical neuron responses to periodically modulated synaptic stimuli. Simple map-based models of two different types of cortical neurons are constructed to replicate the intrinsic resonances of reliability found in experimental data and to explore the effects of those resonance properties on collective behavior in a cortical network model containing excitatory and inhibitory cells. We show that network interactions can enhance the frequency range of reliable responses and that the latter can be controlled by the strength of synaptic connections. The underlying dynamical mechanisms of reliability enhancement are discussed.

Original languageEnglish (US)
Article number041903
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume72
Issue number4
DOIs
StatePublished - Oct 2005
Externally publishedYes

Fingerprint

Network Dynamics
Spike
spikes
Timing
time measurement
neurons
Neurons
Neuron
Collective Behavior
stimuli
Network Model
Enhancement
frequency ranges
Experimental Data
augmentation
Cell
cells
Interaction
Range of data
interactions

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Medicine(all)

Cite this

Role of network dynamics in shaping spike timing reliability. / Bazhenov, Maxim; Rulkov, Nikolai F.; Fellous, Jean-Marc; Timofeev, Igor.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 72, No. 4, 041903, 10.2005.

Research output: Contribution to journalArticle

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