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Noise-induced memory in extended excitable systems.

D R Chialvo1, G A Cecchi, M O Magnasco

  • 1Center for Studies in Physics and Biology, Rockefeller University, New York, New York 10021, USA.

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|October 14, 2000
PubMed
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Extended excitable systems with stochastic fluctuations self-organize to retain long-term memory. This memory is characterized by robust power-law correlations, offering insights into neuronal network function.

Area of Science:

  • Complex systems
  • Neuroscience
  • Statistical physics

Background:

  • Excitable systems are fundamental to phenomena like signal propagation.
  • Stochastic fluctuations are ubiquitous in biological and physical systems.
  • Understanding memory in complex systems is crucial for neuroscience.

Purpose of the Study:

  • To describe a novel form of memory in extended excitable systems.
  • To investigate the role of stochastic fluctuations in memory formation.
  • To explore the implications for neuronal function.

Main Methods:

  • Modeling extended excitable systems subjected to stochastic fluctuations.
  • Analyzing system self-organization and emergent properties.
  • Characterizing memory through correlation analysis.

Related Experiment Videos

Main Results:

  • Systems self-organize into a memory-retaining state.
  • Memory is characterized by power-law correlations.
  • Exponents of these correlations are robust and model-independent.

Conclusions:

  • Stochastic fluctuations can induce long-term memory in excitable systems.
  • The observed memory mechanism provides a framework for understanding neuronal plasticity.
  • Results have implications for neural network dynamics and function.