• DocumentCode
    324595
  • Title

    Using noise to synchronize chaotic neural oscillators

  • Author

    Minai, Ali A. ; Anand, Tirunelveli

  • Author_Institution
    ECECS Dept., Cincinnati Univ., OH, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    1466
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.685992
  • Filename
    685992