• DocumentCode
    2535385
  • Title

    Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm

  • Author

    Soares, Gabriela E. ; Borges, Henrique E. ; Gomes, Rogério M. ; Oliveira, Geraldo M C

  • Author_Institution
    Intell. Syst. Lab., Fed. Center of Technol. Educ. of Minas Gerais, Belo Horizonte, Brazil
  • fYear
    2010
  • fDate
    23-28 Oct. 2010
  • Firstpage
    43
  • Lastpage
    48
  • Abstract
    Based on the Theory of Neuronal Group Selection (TNGS), proposed by Edelman, a network composed of one hundred Izhikevich spiking neurons is analyzed. In this study, a genetic algorithm is used to estimate the Izhikevich neuron model parameters in order to enable the self-organization of a neural network into a cluster of tightly coupled neural cells which fire and oscillate in synchrony at a predefined frequency.
  • Keywords
    genetic algorithms; self-organising feature maps; Izhikevich spiking neuron; genetic algorithm; neuronal group; selforganized spiking neurons network; theory of neuronal group selection; Artificial neural networks; Biological system modeling; Computational modeling; Frequency synchronization; Mathematical model; Neurons; Wave functions; genetic algorithm; neural networks; spiking neuron;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (SBRN), 2010 Eleventh Brazilian Symposium on
  • Conference_Location
    Sao Paulo
  • ISSN
    1522-4899
  • Print_ISBN
    978-1-4244-8391-4
  • Electronic_ISBN
    1522-4899
  • Type

    conf

  • DOI
    10.1109/SBRN.2010.16
  • Filename
    5715211
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2535385