• DocumentCode
    285323
  • Title

    Single neuron chaos

  • Author

    Szu, Harold ; Rogers, George

  • Author_Institution
    NSWC, White Oak, MD, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    103
  • Abstract
    Single neuron dynamics can be mathematically modeled to include chaotic dynamics. On the basis of the model of W.S. McCullouch and W. Pitts (1943), it is shown that the output-input slope is closely related to the standard quadratic map of Feigenbaum. A nonlinear mapping of the threshold function consisting of two degrees of dynamic freedom is adopted to accommodate the refractory and replenishment periods of an axon hillock. By including a third degree of freedom that obeys the quadratic map of Feigenbaum and functions as an internal source term, the final neuron output can produce pulses with a deterministic chaos that depends on the input level
  • Keywords
    cellular biophysics; chaos; neural nets; neurophysiology; physiological models; axon hillock; chaotic dynamics; neuron dynamics; output-input slope; quadratic map; refractory period; replenishment periods; single neuron chaos; threshold function; Biological neural networks; Biological system modeling; Chaos; Chaotic communication; Logic; Mathematical model; Nerve fibers; Neurons; Pattern recognition; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.227192
  • Filename
    227192