• DocumentCode
    2190272
  • Title

    Coefficient of Variation Based Analysis of Coherence Resonance in Hodgkin-Huxley Neuron Model

  • Author

    Han, Chunxiao ; Wang, Jiang ; Guan, Wenye ; Deng, Bin ; Dong, Feng

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We study the nonlinear response of the HodgkinHuxley model without external periodic signal to Gaussian white noise (GWN) and Ornstein-Uhlenbeck noise (OUN) as synaptic current respectively near the saddle-node bifurcation of limit cycles. The coherence of the system, estimated from the Coefficient of Variation of interspike interval of membrane potentials and spike trains, is minimal at certain noise intensity, so that the coherence resonance occurs. When GWN is served as synaptic input, coherence resonance occurs when noise intensity is greater than a certain threshold; when OUN is served as synaptic input, coherence resonance only occurs only with a moderate diffusion coefficient: too large diffusion coefficient will not generate coherence resonance. These findings further our understanding of how neurons respond to different types of noises.
  • Keywords
    Gaussian noise; bifurcation; coherence; diffusion; neurophysiology; white noise; Gaussian white noise; Hodgkin-Huxley neuron model; Ornstein-Uhlenbeck noise; coherence resonance; diffusion coefficient; membrane potential; saddle node bifurcation; spike train; synaptic current; variation coefficient; Automation; Biomembranes; Chromium; Coherence; Gaussian noise; Neurons; Resonance; Statistics; Tellurium; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5305366
  • Filename
    5305366