• DocumentCode
    507849
  • Title

    Stochastic Evolution Model of Neuronal Oscillator Population under the Condition of the Higher Order Coupling

  • Author

    Xiaodan, Zhang ; Rubin, Wang ; Zhikang, Zhang ; Xianfa, Jiao

  • Author_Institution
    Inst. for Cognitive Neurodynamics, East China Univ. of Sci. & Technol., Shanghai, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    439
  • Lastpage
    443
  • Abstract
    The activities of coupled neuronal oscillator population in the presence of both external stimulation and noise were studied in this paper, and the dynamical evolution of the average number density of the neuronal oscillator population was studied when the coupling among oscillators contains higher harmonics. The results of the study indicate that under the condition of higher order coupling, if the initial condition of average number density contains the same harmonics with the higher order coupling and the coupling strength is greater than its critical value, the action of higher order coupling can maintain the already formed multiple-cluster synchronization state of the neuronal oscillator population. Under the condition of stimulation, the effect of phase neural coding is the correlative result of the coupling and the stimulation.
  • Keywords
    neural nets; oscillators; stochastic processes; coupled neuronal oscillator population; higher harmonics; higher order coupling; multiple-cluster synchronization state; neuronal oscillator population; phase neural coding; stochastic evolution model; Brain modeling; Computational biology; Computational modeling; Electronic mail; Evolution (biology); Mutual coupling; Neurodynamics; Oscillators; Stochastic processes; Stochastic resonance; average number density; external stimulation; higher order coupling; neuronal oscillator population; phase neural coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.664
  • Filename
    5363449