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

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Title: Chaotic itinerancy as a mechanism of irregular changes between synchronization and desynchronization in a neural network
Authors: Tsuda, Ichiro1 Browse this author →KAKEN DB
Fujii, Hiroshi Browse this author
Tadokoro, Satoru Browse this author
Yasuoka, Takui Browse this author
Yamaguti, Yutaka Browse this author
Authors(alt): 津田, 一郎1
Keywords: Gap junction-coupled system
class I* neurons
dynamic cell assembly
chaotic itinerancy
Milnor attractor
metachronal waves
synchronization
Issue Date: Jun-2004
Publisher: Imperial College Press
Journal Title: Journal of Integrative Neuroscience
Volume: 3
Issue: 2
Start Page: 159
End Page: 182
Publisher DOI: 10.1142/S021963520400049X
Abstract: 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.
Description URI: http://www.worldscinet.com/jin/jin.shtml
Rights: Copyright (c) 2004 Imperial College Press. The original publication is available at www.worldscinet.com
Type: article (author version)
URI: http://hdl.handle.net/2115/589
Appears in Collections:理学院・理学研究院 (Graduate School of Science / Faculty of Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 津田 一郎

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