• DocumentCode
    2556728
  • Title

    Study on reduction algorithm in hippocampal neuron complex model

  • Author

    He, Xiaoying ; Peng, Yueping ; Gao, Haiqing

  • Author_Institution
    Sch. of Manage. & Econ., Xi´´an Technol. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    178
  • Lastpage
    182
  • Abstract
    In the paper, based on the model reduction theory of neurodynamics and the polynomial regression algorithm, the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David[J Neurophysiol, 2006, 96: 1912-1926] is reduced by computer simulation, and the two-dimension reduced neuron model is obtained. This investigation provides a simple and convenient method to reduce the high dimension complex neuron model. And it is helpful to investigate deeply the high dimension complex neuron model´s dynamic characteristics and functions by the neurodynamic theory.
  • Keywords
    brain models; neural nets; neurophysiology; regression analysis; CA1 pyramid neuron; computer simulation; high-dimension complex neuron model; hippocampal neuron complex model; model reduction theory; neurodynamics; nine-dimension one-compartment complex model; polynomial regression algorithm; reduction algorithm; Analytical models; Discharges (electric); Mathematical model; Neurodynamics; Neurons; Numerical models; Polynomials; algorithm; neurodynamics; reduced neuron model; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234537
  • Filename
    6234537