• DocumentCode
    3005826
  • Title

    A polynomial approximation to the neuronal action potential as governed by the Hodgkin-Huxley equations

  • Author

    Leondopulos, Stathis ; Micheli-Tzanakou, Evangelia

  • Author_Institution
    Biomedical Eng., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2004
  • fDate
    17-18 April 2004
  • Firstpage
    75
  • Lastpage
    76
  • Abstract
    A numerical solution to the Hodgkin-Huxley (HH) equations is obtained with ion conductance variability as a forcing function. Next, a modified version of the ALOPEX algorithm is employed to fit a 6th degree polynomial quotient to the numerical solution.
  • Keywords
    bioelectric potentials; biomembrane transport; neurophysiology; physiological models; polynomial approximation; ALOPEX algorithm; Hodgkin-Huxley equations; ion conductance variability; neuronal action potential; polynomial approximation; Biomedical engineering; Biomembranes; Capacitance; Computational intelligence; Computational modeling; Cost function; Differential equations; Laboratories; Nonlinear equations; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2004. Proceedings of the IEEE 30th Annual Northeast
  • Print_ISBN
    0-7803-8285-4
  • Type

    conf

  • DOI
    10.1109/NEBC.2004.1300000
  • Filename
    1300000
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3005826