• DocumentCode
    582814
  • Title

    Vibrational resonance on modular neuronal networks

  • Author

    Chen, Liu ; Jiang, Wang ; Haitao, Yu ; Bin, Deng ; Xile, Wei

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    7388
  • Lastpage
    7392
  • Abstract
    In this paper, the phenomenon of vibrational resonance is explored in a modular neuronal network of small-world subnetworks. This effect of vibrational resonances of neuronal system depends extensively on the network structure and parameters. Only with optimal values of coupling strengths, link probability and scale of the modular neural network, the network can largely enhance the outreach of the localized subthreshold low-frequency signal.
  • Keywords
    neurocontrollers; nonlinear systems; coupling strengths; link probability; localized subthreshold low-frequency signal; modular neural network; modular neuronal networks; small-world subnetworks; vibrational resonance; Biological neural networks; Couplings; Neurons; Noise; Resonant frequency; Stochastic resonance; modular; small-world; subnetwork; vibrational resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391248