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Title
  • en Chaotic itinerancy as a mechanism of irregular changes between synchronization and desynchronization in a neural network
Creator
    • en Fujii, Hiroshi
    • en Tadokoro, Satoru
    • en Yasuoka, Takui
    • en Yamaguti, Yutaka
Accessrights open access
Rights
  • en Copyright (c) 2004 Imperial College Press. The original publication is available at www.worldscinet.com
Subject
  • Other en Gap junction-coupled system
  • Other en class I* neurons
  • Other en dynamic cell assembly
  • Other en chaotic itinerancy
  • Other en Milnor attractor
  • Other en metachronal waves
  • Other en synchronization
  • NDC 481.37
Description
  • Abstract en We investigate the dynamic character of a network of electrotonically coupled cells consisting of class I point neurons, in terms of a finite dimensional dynamical system. We classify a subclass of class I point neurons, called class I* point neurons. Based on this classification, we use a reduced Hindmarsh-Rose (H-R) model, which consists of two dynamical variables, to construct a network model consisting of electrotonically coupled H-R neurons. Although biologically simple, the system is sufficient to extract the essence of the complex dynamics, which the system may yield under certain physiological conditions. The network model produces a transitory behavior as well as a periodic motion and spatio-temporal chaos. The transitory dynamics that the network model exhibits is shown numerically to be chaotic itinerancy. The transitions appear between various metachronal waves and all-synchronization states. The network model shows that this transitory dynamics can be viewed as a chaotic switch between synchronized and desynchronized states. Despite the use of spatially discrete point neurons as basic elements of the network, the overall dynamics exhibits scale-free activity including various scales of spatio-temporal patterns.
  • Other http://www.worldscinet.com/jin/jin.shtml
Publisher en Imperial College Press
Date
    Issued2004-06
Language
  • eng
Resource Type journal article
Version Type AM
Identifier HDL http://hdl.handle.net/2115/589
Relation
  • isVersionOf DOI https://doi.org/10.1142/S021963520400049X
Journal
    • PISSN 02196352
      • en Journal of Integrative Neuroscience
      • Volume Number3 Issue Number2 Page Start159 Page End182
File
    • fulltext TF.JIN.pdf
    • 2.83 MB (application/pdf)
      • Issued2004-06
Oaidate 2023-07-26