• DocumentCode
    2107714
  • Title

    Synchronization of fitzhugh-nagumo neural network in external electrical fields

  • Author

    Men Cong ; Wang Jiang ; Deng Bin ; Wei Xi-Le ; Che Yan-Qiu

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    5165
  • Lastpage
    5170
  • Abstract
    Synchronization is a crucial mechanism for information communication in neural network. However, how external electrical fields modulate synchronization is remain an open question. In this paper the stability of complete synchronization of coupled homogenous neural network in external electrical stimulation is investigated based on eigenvalue analysis. Furthermore, the effects of network heterogeneity and field frequency on synchronization of heterogenous neural networks are studied in detail. It´s shown that coupling strength and topological structure play a crucial role in modulating the synchronous states in neural system. Synchronization is sensitive to electrical field frequency. However, heterogeneity plays an adverse role in achieving synchronous states.
  • Keywords
    eigenvalues and eigenfunctions; neural nets; synchronisation; Fitzhugh-Nagumo neural network; coupling strength; eigenvalue analysis; electrical field frequency; external electrical stimulation; information communication; synchronization; topological structure; Artificial neural networks; Chaos; Couplings; Neurons; Stability criteria; Synchronization; Fitzhugh-Nagumo model; Heterogeneity; Synchronization; Topological structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573426