• DocumentCode
    3251705
  • Title

    Recurrent refractory neural field

  • Author

    Aityan, Sergey K.

  • Author_Institution
    Dept. of Comput. Sci., Dortmund Univ., Germany
  • Volume
    4
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    140
  • Abstract
    The author introduces and describes a recurrent neural field that is made up of refractory neurons. Every neutron of the field is chaotically connected to others with stochastically distributed bonds and shows the stochastical time varying threshold. The paper takes the location of the neuron in the space-time-firing state of the neuron field into account. The term neural field is used to describe a single layer intraconnected neural network. The input and output signals are distributed between clusters of closely connected neurons. A simple example shows good logical abilities of the refractory neural field. A three neuron refractory field is able to solve the exclusive OR problem
  • Keywords
    chaos; recurrent neural nets; time-varying systems; exclusive OR problem; logical abilities; recurrent neural nets; recurrent refractory neural field; refractory neurons; single layer intraconnected neural network; space-time-firing state; stochastical time varying threshold; stochastically distributed bonds; Biomembranes; Chaos; Computer architecture; Computer science; Damping; Equations; Fires; Neurons; Recurrent neural networks;
  • 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.1992.227276
  • Filename
    227276