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

Phys Rev Lett. 2007 Dec 7;99(23):238106. doi: 10.1103/PhysRevLett.99.238106. Epub 2007 Dec 7.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Action Potentials / physiology
  • Cerebral Cortex / cytology
  • Cerebral Cortex / physiology
  • Models, Neurological*
  • Nerve Net / physiology*
  • Neural Conduction / physiology*
  • Nonlinear Dynamics