Noise stabilization of self-organized memories

M. L. Povinelli, S. N. Coppersmith, L. P. Kadanoff, S. R. Nagel, S. C. Venkataramani

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We investigate a nonlinear dynamical system which “remembers” preselected values of a system parameter. The deterministic version of the system can encode many parameter values during a transient period, but in the limit of long times, almost all of them are forgotten. Here we show that a certain type of stochastic noise can stabilize multiple memories, enabling many parameter values to be encoded permanently. We present analytic results that provide insight both into the memory formation and into the noise-induced memory stabilization. The relevance of our results to experiments on the charge-density wave material [Formula Presented] is discussed.

Original languageEnglish (US)
Pages (from-to)4970-4982
Number of pages13
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Issue number5
StatePublished - 1999

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics


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