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Fractal encoding in a chaotic neural network

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Title: Fractal encoding in a chaotic neural network
Authors: Ryeu, J. K. Browse this author
Aihara, K. Browse this author
Tsuda, I. Browse this author →KAKEN DB
Issue Date: Sep-2001
Publisher: American Physical Society
Journal Title: Physical Review E
Volume: 64
Issue: 4
Start Page: 046202-1
End Page: 046202-6
Publisher DOI: 10.1103/PhysRevE.64.046202
Abstract: We analyze a model of a chaotic neural network consisting of three neurons, namely a chaotically forcing neuron and two neurons comprizing a stable response system with a contraction mapping property, for digital encoding with chaotic dynamics. We show that dynamics of the chaotically forcing neuron is embedded in the form of a code sequence on a fractal attractor of the two-neuron response system. We consider the relation between the state transition of the chaotically forcing neuron and the hierarchical fractal structure on the attractor in the state space of the contracting system. We also report hardware implementation of the presented model with an analog electronic circuit to investigate the fractal attractor of the chaotic neural network as a realistic system.
Rights: Copyright (c) 2001 The American Physical Society
Type: article
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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