Role of network dynamics in shaping spike timing reliability

Maxim Bazhenov, Nikolai F. Rulkov, Jean-Marc Fellous, and Igor Timofeev
Phys. Rev. E 72, 041903 – Published 5 October 2005

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.

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  • Received 12 November 2004

DOI:https://doi.org/10.1103/PhysRevE.72.041903

©2005 American Physical Society

Authors & Affiliations

Maxim Bazhenov1, Nikolai F. Rulkov2,3, Jean-Marc Fellous4, and Igor Timofeev5

  • 1Salk Institute, 10010 North Torrey Pines Road, La Jolla, California 92037, USA
  • 2Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093-0402, USA
  • 3Information Systems Laboratories, Inc., San Diego, California 92121, USA
  • 4Department of Biomedical Engineering and Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708, USA
  • 5Laval University, Quebec, Canada G1K 7P4

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Issue

Vol. 72, Iss. 4 — October 2005

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