Back

Title
  • Fractal encoding in a chaotic neural network
Creator

Ryeu, J. K.

Aihara, K.

Tsuda, I.

Rights
    • Copyright (c) 2001 The American Physical Society
Subject
  • NDC 410
Description
Other
  • 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.
PublisherAmerican Physical Society
Date Issued 2001-09
Languageeng
NIItypejournal article
VersiontypeVoR
Identifier URI http://hdl.handle.net/2115/8487
Relation
  • isIdenticalTo DOI https://doi.org/10.1103/PhysRevE.64.046202
Journal
    • NCID AA10848730
    • ISSN 1063-651X
    • Physical Review E
    64(4), 046202-1-046202-6
File
Oaidate2019-10-09T06:46:11Z