Title |
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Chaotic itinerancy as a mechanism of irregular changes between synchronization and desynchronization in a neural network
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Creator |
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Accessrights |
open access |
Rights |
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en
Copyright (c) 2004 Imperial College Press. The original publication is available at www.worldscinet.com
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Subject |
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Other
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Gap junction-coupled system
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Other
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class I* neurons
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Other
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dynamic cell assembly
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chaotic itinerancy
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Milnor attractor
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Other
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metachronal waves
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Other
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synchronization
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NDC
481.37
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Description |
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Abstract
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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.
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Other
http://www.worldscinet.com/jin/jin.shtml
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Publisher |
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Imperial College Press
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Date |
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Language |
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Resource Type |
journal article |
Version Type |
AM |
Identifier |
HDL
http://hdl.handle.net/2115/589
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Relation |
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isVersionOf
DOI
https://doi.org/10.1142/S021963520400049X
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Journal |
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Journal of Integrative Neuroscience
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Volume Number3
Issue Number2
Page Start159
Page End182
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File |
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Oaidate |
2023-07-26 |