• DocumentCode
    3341247
  • Title

    Bifurcation analysis for two coupled Fitzhugh-Nagumo neurons

  • Author

    Bin Zhen ; Fang Han

  • Author_Institution
    Sch. of Civile & Archit. Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    450
  • Lastpage
    454
  • Abstract
    In this paper, Hopf bifurcation in two coupled Fitzhugh-Nagumo (FHN) neurons is considered by applying the center manifold theorem. We learn that the condition for Hopf bifurcation is just sufficient but not necessary for the occurrence of a small limit cycle branched from a equilibrium. A stable limit cycle can branch from the equilibrium while its stability has no change. An equilibrium can only lose its stability in some particular directions in high dimensional phase space. Our analysis results indicate that saddle-node point seems to play a big part in the neurodynamics.
  • Keywords
    bifurcation; neural nets; Hopf bifurcation; bifurcation analysis; equilibrium; high dimensional phase space; neurodynamics; saddle-node point; stable limit cycle; two coupled Fitzhugh-Nagumo neurons; Bifurcation; Limit-cycles; Manifolds; Mathematical model; Neurons; Numerical stability; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022018
  • Filename
    6022018