Presentation 1997/10/7
Analysis of Chaotic Itinerancy Observed in a Chaotic Neural Network
T. Yoshinaga, Y. Inuma, H. Kawakami,
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Abstract(in English) The chaotic itinerancy observed in a chaotic neural network is an important phenomenon for studying an associative dynamics or memory searching process in real neurons, but the mechanism for the occurrence is an open problem. In this paper we consider the network composed of 4 neurons coupled by synaptic weights which are determined according to orthogonal stored patterns. Through numerical analysis of a three dimensional noninvertible map describing essential motions of the network, we found that the chaotic itinerancy occurs due to intersections of an α-branch of periodic points and a collapse of periodic in-phase attracting set.
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Keyword(in English) chaotic itinerancy / chaotic neural network / bifurcation / noninvertible map / nonlinear problem
Paper # NLP97-99-112
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Conference Information
Committee NLP
Conference Date 1997/10/7(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Chaotic Itinerancy Observed in a Chaotic Neural Network
Sub Title (in English)
Keyword(1) chaotic itinerancy
Keyword(2) chaotic neural network
Keyword(3) bifurcation
Keyword(4) noninvertible map
Keyword(5) nonlinear problem
1st Author's Name T. Yoshinaga
1st Author's Affiliation Faculty of Engineering, The University of Tokushima()
2nd Author's Name Y. Inuma
2nd Author's Affiliation Faculty of Engineering, The University of Tokushima
3rd Author's Name H. Kawakami
3rd Author's Affiliation Faculty of Engineering, The University of Tokushima
Date 1997/10/7
Paper # NLP97-99-112
Volume (vol) vol.97
Number (no) 301
Page pp.pp.-
#Pages 8
Date of Issue