• DocumentCode
    550425
  • Title

    Adaptive chaotic synchronization of Hindmarsh-Rose network with gap-junction

  • Author

    Li Huiyan ; Wang Jiang ; Jia Chenhui ; Deng Bin ; Wei Xile ; Che Yanqiu ; Qin Yingmei

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    5646
  • Lastpage
    5649
  • Abstract
    It is common that a neuron or a network in the tissue or organ of human makes an unusual action which will lead to some illnesses such as depression and epilepsy because some parameters of the neuron are changed or some connections in the network are strengthened, weakened, or lost. So it is important to adjust the ill neuron or network back to normal condition. In this paper, we use model reference adaptive control method to adjust the abnormal parameters in an abnormal network back to normal conditions without considering the structure of the network. Finally, both the behaviors and the abnormal parameters of the abnormal neurons in the network are adjusted to normal conditions.
  • Keywords
    biological organs; biological tissues; model reference adaptive control systems; neural nets; Hindmarsh-Rose network; adaptive chaotic synchronization; gap-junction; illness; model reference adaptive control method; neuron; organ; tissue; Artificial neural networks; Brain modeling; Diseases; Network topology; Neurons; Synchronization; Topology; Adaptive Control; Chaotic Synchronization; Network with Gap-junction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000763