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Title
  • Chaotic itinerancy as a mechanism of irregular changes between synchronization and desynchronization in a neural network
Creator

Tsuda, Ichiro

Fujii, Hiroshi

Tadokoro, Satoru

Yasuoka, Takui

Yamaguti, Yutaka

Rights
    • Copyright (c) 2004 Imperial College Press. The original publication is available at www.worldscinet.com
Subject
  • Other Gap junction-coupled system
  • Other class I* neurons
  • Other dynamic cell assembly
  • Other chaotic itinerancy
  • Other Milnor attractor
  • Other metachronal waves
  • Other synchronization
  • NDC 481.37
Description
Other
  • 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.
PublisherImperial College Press
Date Issued 2004-06
Languageeng
NIItypejournal article
VersiontypeAM
Identifier URI http://hdl.handle.net/2115/589
Relation
  • isIdenticalTo DOI https://doi.org/10.1142/S021963520400049X
Journal
    • ISSN 0219-6352
    • Journal of Integrative Neuroscience
    3(2), 159-182
File
Oaidate2019-04-18T07:17:13Z