Temporal Decorrelation of Collective Oscillations in Neural Networks with Local Inhibition and Long-Range Excitation

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

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

Battaglia D(1), Brunel N, Hansel D.

Author information:
(1)Université Paris Descartes, Laboratoire de Neurophysique et Physiologie; CNRS
UMR 8119; 45, Rue des Saints-Pères, 75270 Paris Cedex 06, France.

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.

DOI: 10.1103/PhysRevLett.99.238106
PMID: 18233419 [Indexed for MEDLINE]

Auteurs Bordeaux Neurocampus