Presentation 2011-06-30
Characteristics of Synchronization in Newman-Watts type Chaotic Neural Networks
Manabu SHIBASAKI, Masaharu ADACHI,
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Abstract(in English) In this paper, characteristics of synchronization in Newman-Watts type chaotic neural networks are investigated. Mahdi has been reported on characteristics of synchronization in Newman-Watts model with Hindmarsh-Rose neuron. We intend to compare our result with Mahdi's one. In concrete, We examined for networks whose constituent neurons are not identical for its parameter values. Characteristics of synchronization are evaluated by average synchronization error in the networks for various values of a global coupling strength and the shortcut probability for the Newman-Watts model. Then, synchronizing cluster of neurons in the networks is investigated. As a result, characteristics of synchronization of the chaotic neural networks are different from that of Hindmarsh-Rose neurons. It decreases with increase of global coupling strength. We also find that recombinations of the neurons in clusters occur in the chaotic neural networks.
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Keyword(in English) Newman-Watts model / chaotic neural network / synchronization / complex network
Paper # NLP2011-27
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Committee NLP
Conference Date 2011/6/23(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Characteristics of Synchronization in Newman-Watts type Chaotic Neural Networks
Sub Title (in English)
Keyword(1) Newman-Watts model
Keyword(2) chaotic neural network
Keyword(3) synchronization
Keyword(4) complex network
1st Author's Name Manabu SHIBASAKI
1st Author's Affiliation Graduate School of Engineering, Tokyo Denki University()
2nd Author's Name Masaharu ADACHI
2nd Author's Affiliation Graduate School of Engineering, Tokyo Denki University
Date 2011-06-30
Paper # NLP2011-27
Volume (vol) vol.111
Number (no) 106
Page pp.pp.-
#Pages 6
Date of Issue