Title :
Using noise to synchronize chaotic neural oscillators
Author :
Minai, Ali A. ; Anand, Tirunelveli
Author_Institution :
ECECS Dept., Cincinnati Univ., OH, USA
Abstract :
The utility of noise in nonlinear systems is an issue of broad interest, with profound implications about the organization of behavior in complex systems. In this paper, We present an instance where “noise-like” aperiodic input to a group of chaotic neural oscillators can spontaneously produce a highly organized and potentially useful behavior-synchronization-which is much more difficult to produce with a “signal-like” input. In particular, oscillators subject to a fixed signal input can be synchronized quite rapidly by the addition of noise, and, in most cases, increasing noise amplitude enhances the reliability and speed of synchronization
Keywords :
large-scale systems; neural nets; noise; nonlinear systems; oscillators; synchronisation; behavior organization; chaotic neural oscillator synchronization; complex systems; noise-like aperiodic input; nonlinear systems; Associative memory; Bifurcation; Chaos; Equations; Lattices; Neural networks; Noise level; Nonlinear systems; Oscillators;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.685992