• DocumentCode
    2115065
  • Title

    Analysis of firing patterns in Chay neuron under external sinusoidal ELF electric field stimulus

  • Author

    Wang Hai-yang ; Wang Jiang ; Che Yan-Qiu ; Han Chun-Xiao ; Li Hong-Li ; Chen Ying-Yuan

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    744
  • Lastpage
    748
  • Abstract
    Neuronal firing patterns are related to the information processing in neural system. In this paper, we investigate the response characteristics of Chay neuron model to the stimulation of externally-applied sinusoidal electric field. The stimulus frequency is used as the bifurcation parameter. By calculating the inter-spiking intervals (ISIs) and Lyapunov exponents, we find kinds of firing patterns such as period-n bursting, period-n spiking, mixed-periods bursting, bursting-chaos and spiking-chaos. Meanwhile, various phase-locking patterns have been studied in this paper, such as p : 1(p ≥ 2), 1 : p(p ≥ 2) and p : q(p, q ≥ 2) phase-locking, etc. Especially, it is easy to control the transition between various firing patterns of excitable cell under external sinusoidal ELF stimulus, which has significance of theoretical guidance for treatment of diseases by the external electric field.
  • Keywords
    Lyapunov methods; bifurcation; bioelectric phenomena; neural nets; neurophysiology; Chay neuron model; Lyapunov exponent; bifurcation parameter; bursting-chaos; external sinusoidal ELF electric field; firing pattern analysis; inter-spiking interval; mixed-periods bursting; period-n bursting; period-n spiking; phase-locking pattern; spiking-chaos; Bifurcation; Biomembranes; Chaos; Geophysical measurement techniques; Ground penetrating radar; Neurons; Numerical models; Chaos; Chay Model; External Electric Field; ISIs; Period-n Firing Patterns;
  • 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
    5573724