• DocumentCode
    504782
  • Title

    Simultaneous parameter and input estimation of Hindmarsh-Rose neuron by adaptive observer

  • Author

    Totoki, Yusuke ; Ito, Ryuta ; Suemitsu, Haruo ; Matsuo, Takami

  • Author_Institution
    Dept. of Archit. & Mechatron., Oita Univ., Oita, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    4896
  • Lastpage
    4901
  • Abstract
    In this paper, we present an adaptive observer for a Hindmarsh-Rose (HR) neuron with the membrane potential measurement under the assumption that some of parameters in an individual HR neuron are known. Using the adaptive observers for a single HR neuron, we propose a simultaneous estimator of a parameter and the input current of a HR neuron. The procedure allows us to recover the internal states and to distinguish the firing patterns of the synaptically coupled HR neurons.
  • Keywords
    neural nets; observers; parameter estimation; Hindmarsh-Rose neuron; adaptive observer; membrane potential measurement; simultaneous parameter-input estimation; Biological system modeling; Biology computing; Biomembranes; Computational modeling; Electric variables measurement; Equations; Frequency synchronization; Neurons; Observers; Parameter estimation; Bursting; Lyapunov exponent; adaptive observer; spiking; synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5334673