Noise stabilization of self-organized memories.
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 NbSe3 is discussed.
Povinelli
M L
ML
The James Franck Institute, The University of Chicago, 5640 Ellis Avenue, Chicago, Illinois 60637, USA.
Coppersmith
S N
SN
Kadanoff
L P
LP
Nagel
S R
SR
Venkataramani
S C
SC