hide
Free keywords:
-
Abstract:
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.
