• DocumentCode
    1604288
  • Title

    Parameter Estimation of Biological Neuron Models with Bursting and Spiking

  • Author

    Fujikawa, Hiroyuki ; Mitsunaga, Kouichi ; Suemitsu, Haruo ; Matsuo, Takami

  • Author_Institution
    Department of Human Wel., Oita Univ.
  • fYear
    2006
  • Firstpage
    4487
  • Lastpage
    4492
  • Abstract
    In this brief, we present an estimator of the parameters of the Hindmarsh-Rose model using an adaptive observer. This estimator allows us to distinguish the firing patterns with early-time dynamic behaviors. The MATLAB simulations demonstrate the estimation performance of the proposed adaptive observer
  • Keywords
    bioelectric phenomena; biology computing; cellular biophysics; digital simulation; mathematics computing; neural nets; observers; parameter estimation; physiological models; Hindmarsh-Rose model; MATLAB simulations; adaptive observer; biological neuron models; bursting model; early-time dynamic behaviors; firing patterns; parameter estimation; spiking model; Biological system modeling; Computational modeling; Electric variables measurement; Electronic mail; Fires; MATLAB; Mathematical model; Neurons; Parameter estimation; Steady-state; Hindmarsh-Rose model; adaptive observer; tonic bursting; tonic spiking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.315033
  • Filename
    4108468
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1604288