• DocumentCode
    1819275
  • Title

    Chaos in neural networks with bistable dendrite membrane current-voltage relation

  • Author

    Gartliauskas, A.

  • Author_Institution
    Lab. of Neuroinf., Inst. of Math. & Inf., Vilnius
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    730
  • Abstract
    The study of a chaos theory, in general, and a neural network chaos paradigm with a concrete interpretation by a simple neural network, in particular, allowed us to set up a new aspect in an artificial neuronal methodology: an analogy between natural chaos experimentally observed in neural systems of the brain and artificial neural network chaos phenomena is considered. The significance of asymmetry and nonlinearity, which were increased on introducing a restricted N-shaped synapsed relation in a dynamic model, is emphasized, There are illustrated the computational examples of the neural network properties which are expressed by the equilibrium point, stable cycle or chaotic behaviour in neural systems with N-shaped synapsed relation
  • Keywords
    bioelectric phenomena; biomembranes; brain models; chaos; neural nets; neurophysiology; asymmetry; bistable dendrite membrane current-voltage relation; brain; dynamic model; equilibrium point; neural network chaos paradigm; nonlinearity; restricted N-shaped synapsed relation; stable cycle; Artificial neural networks; Biological neural networks; Biomembranes; Chaos; Computer networks; Humans; Intelligent networks; Neural networks; Orbits; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.831593
  • Filename
    831593