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Itinerant memory dynamics and global bifurcations in chaotic neural networks
Authors:Kitajima Hiroyuki  Yoshinaga Tetsuya  Aihara Kazuyuki  Kawakami Hiroshi
Affiliation:Faculty of Engineering, Kagawa University, 2217-20 Hayashi, Takamatsu 761-0396, Japan.
Abstract:We have considered itinerant memory dynamics in a chaotic neural network composed of four chaotic neurons with synaptic connections determined by two orthogonal stored patterns as a simple example of a chaotic itinerant phenomenon in dynamical associative memory. We have analyzed a mechanism of generating the itinerant memory dynamics with respect to intersection of a pair of alpha branches of periodic points and collapse of a periodic in-phase attracting set. The intersection of invariant sets is numerically verified by a novel method proposed in this paper.
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