Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1999-05-04
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, latex + 5 eps figures
Scientific paper
10.1103/PhysRevE.61.5654
We describe a form of memory exhibited by extended excitable systems driven by stochastic fluctuations. Under such conditions, the system self-organizes into a state characterized by power-law correlations thus retaining long-term memory of previous states. The exponents are robust and model-independent. We discuss novel implications of these results for the functioning of cortical neurons as well as for networks of neurons.
Cecchi Guillermo A.
Chialvo Dante R.
Magnasco Marcelo O.
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