Chaotic hopping between attractors in neural networks

2006/04/16 by J. Marro, Marro, J., J. J. Torres +3
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Neurons and Cognition (q-bio.NC) #q-bio.NC

paper · pdf · doi:10.48550/arxiv.q-bio/0604020

12 pages, 5 figures

arxiv created 2006/04/16 · arxiv updated 2009/12/01

Abstract

We present a neurobiologically--inspired stochastic cellular automaton whose state jumps with time between the attractors corresponding to a series of stored patterns. The jumping varies from regular to chaotic as the model parameters are modified. The resulting irregular behavior, which mimics the state of attention in which a systems shows a great adaptability to changing stimulus, is a consequence in the model of short--time presynaptic noise which induces synaptic depression. We discuss results from both a mean--field analysis and Monte Carlo simulations.

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