Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State

Details Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State

2010-03-23

arxiv.org/abs/1003.4410v2

Phys. Rev. Lett. 105, 268104 (2010)

Physics

Condensed Matter

Disordered Systems and Neural Networks

4 pages, 4 figures

Scientific paper

10.1103/PhysRevLett.105.268104

We demonstrate deterministic extensive chaos in the dynamics of large sparse networks of theta neurons in the balanced state. The analysis is based on numerically exact calculations of the full spectrum of Lyapunov exponents, the entropy production rate and the attractor dimension. Extensive chaos is found in inhibitory networks and becomes more intense when an excitatory population is included. We find a strikingly high rate of entropy production that would limit information representation in cortical spike patterns to the immediate stimulus response.

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