Noise-induced memory in extended excitable systems

Abstract

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.

4 pages, latex + 5 eps figures

References in corpus (2)

• Avalanche Dynamics in Evolution, Growth, and Depinning Models
• Mean Field Theory of Polynuclear Surface Growth

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