• DocumentCode
    2120368
  • Title

    Chaotic Synchronization of Coupled Hindmarsh-Rose Neurons Using Adaptive Control

  • Author

    Shi, Yu ; Wang, Jiang ; Deng, Bin ; Liu, Qiuxiang

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the chaotic synchronization of Hindmarsh-Rose model based neurons coupled with gap junction via direct adaptive control. The key parameters in the equation presenting member voltage are the unknown. Firstly, the influence of the strength of gap junction is discussed in detail. If the controller was not applied, the synchronization would occur only when the couple strength of gap junction satisfied some condition. Secondly, a direct adaptive control strategy is designed to obtain the synchronization of two coupled neurons without needing to consider the couple strength of gap junction. Numerals simulations are provided to verify the efficiency of the designed synchronization schemes.
  • Keywords
    adaptive control; biocontrol; chaos; neural nets; neurophysiology; nonlinear control systems; synchronisation; Hindmarsh-Rose model; chaotic synchronization; direct adaptive control; gap junction; neuron coupling; nonlinear chaotic neuron systems; numerals simulations; Adaptive control; Biological system modeling; Biological systems; Brain modeling; Chaos; Chaotic communication; Couplings; Equations; Neurons; Nonlinear dynamical systems;
  • 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.2009.5302804
  • Filename
    5302804