• DocumentCode
    1903119
  • Title

    A chaotic neural unit

  • Author

    Dingle, Alison A. ; Andreae, John H. ; Jones, Richard D.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    335
  • Abstract
    A neural unit is proposed based on a simple chaotic system. While this chaotic neural unit retains characteristics of conventional neural units, it also displays a rich range of behavior reminiscent of that observed in neurons. Networks of these neural units are shown to produce chaotic activity which is qualitatively similar to that observed in recordings of the electrical activity of the brain (EEGs). The introduction of chaotic neural units into the self-organizing map improves the ability of the network to cluster input patterns. The introduction of chaos into neural networks may enhance their performance and, at the same time, provide insights into the operation of the brain
  • Keywords
    chaos; pattern recognition; self-organising feature maps; chaotic activity; chaotic neural unit; electrical activity; input patterns; pattern clustering; self-organizing map; Bifurcation; Biomedical engineering; Chaos; Difference equations; Displays; Electroencephalography; Hospitals; Logistics; Neurons; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298579
  • Filename
    298579