• DocumentCode
    3251779
  • Title

    Neurodynamical model of collective brain

  • Author

    Zak, Michail

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • Volume
    4
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    115
  • Abstract
    A dynamical system which mimics collective purposeful activities of a set of units of intelligence is introduced and discussed. A global control of the unit activities is replaced by the probabilistic correlations between them. These correlations are learned during a long term period of performing collective tasks, and are stored in the synaptic interconnections. The model is represented by a system of ordinary differential equations with terminal attractors and repellers, and does not contain any man-made digital devices
  • Keywords
    brain models; neural nets; collective brain; dynamical system; neurodynamical model; probabilistic correlations; repellers; synaptic interconnections; terminal attractors; Biological system modeling; Brain modeling; Chaos; Delay; Density functional theory; Differential equations; Insects; Mathematical model; Neurons; Stochastic processes;
  • 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.1992.227280
  • Filename
    227280