• DocumentCode
    3208474
  • Title

    Prion neural system: Modeling the binding affinities between neurons of a network

  • Author

    Morogan, Luciana

  • Author_Institution
    Mil. Tech. Acad., Bucharest, Romania
  • fYear
    2010
  • fDate
    8-10 Oct. 2010
  • Firstpage
    143
  • Lastpage
    147
  • Abstract
    There is a need (that came from biological hypothesis about the functionality of certain subsystems of the nervous system) of designing a more realistic model of a dynamic complex system. An idea of such a comlex system started with the prion neural system (already introduced in some previous papers). This article is focused on modeling synapses between neurons of a network by modeling the binding affinities between them. The original idea, of biological inspiration, is that in a network of neurons of a prion neural system (or any other network of neuron devices) any neuron should not be able to bind with any other neuron. In this article it is also designed the synaptic formation between different kinds of neurons in a network.
  • Keywords
    biocomputing; evolutionary computation; neural nets; neurophysiology; biological hypothesis; dynamic complex system; evolutionary computing; nervous system; neuron binding affinity; prion neural system; realistic model; Adaptation model; Biological system modeling; Computational modeling; Neurons; Neurotransmitters; Substrates; evolutionary computing; hybrid intelligent systems; nature inspired computing technique; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
  • Conference_Location
    Krackow
  • Print_ISBN
    978-1-4244-7817-0
  • Type

    conf

  • DOI
    10.1109/CISIM.2010.5643673
  • Filename
    5643673