Work

Noise-induced memory in extended excitable systems

Year: 2000

Type: article

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 implications of these results for the functioning of cortical neurons as well as for networks of neurons.

Source: Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics

DOI: 10.1103/physreve.61.5654

Authors: Dante R. Chialvo, Guillermo A. Cecchi, Marcelo O. Magnasco

Institution: Rockefeller University

Language: English

Topic: stochastic dynamics and bifurcation

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2159658092

FWCI: 0.694

Cites: 10

Cited by: 26

Related to: 10