• DocumentCode
    393463
  • Title

    Synchronized oscillation and dynamical clustering in chaotic PCNN

  • Author

    Yamaguchi, Y. ; Ishimura, K. ; Wada, M.

  • Author_Institution
    Graduate Sch. of Eng., Hokkaido Univ., Japan
  • Volume
    2
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    730
  • Abstract
    Chaotic synchronization of pulse-coupled neural network (PCNN) is studied from the viewpoint of flexible information coding. Using extended Eckhorn´s PCNN model, we numerically analyze a generation of chaotic synchronized clusters in a network with locally-excitatory-globally-inhibitory connection. When multiple clusters are generated in the chaotic network, there is almost no cross-correlation between spike sequences of neurons in different clusters.
  • Keywords
    chaos; neural nets; synchronisation; Eckhorn´s PCNN model; PCNN; chaotic network; chaotic synchronization; figure-ground separation; inhibitory connection; multiple clusters; pulse-coupled neural network; spike sequences; Brain modeling; Chaos; Image coding; Information processing; Intelligent networks; Joining processes; Mathematical model; Neurons; Numerical models; Oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1195246
  • Filename
    1195246