Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation.

Published

Journal Article

We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network by local inhibition. When long-range excitation is weak, these oscillations phase lock with a phase shift dependent on the strength of local inhibition. Increasing the strength of long-range excitation induces a transition to chaos via period doubling or quasiperiodic scenarios. In the chaotic regime, oscillatory activity undergoes fast temporal decorrelation. The generality of these dynamical properties is assessed in firing-rate models as well as in large networks of conductance-based neurons.

Full Text

Duke Authors

Cited Authors

  • Battaglia, D; Brunel, N; Hansel, D

Published Date

  • December 7, 2007

Published In

Volume / Issue

  • 99 / 23

Start / End Page

  • 238106 -

PubMed ID

  • 18233419

Pubmed Central ID

  • 18233419

International Standard Serial Number (ISSN)

  • 0031-9007

Digital Object Identifier (DOI)

  • 10.1103/PhysRevLett.99.238106

Language

  • eng

Conference Location

  • United States