• DocumentCode
    1822623
  • Title

    An N-node myelinated axon model: A system identification approach

  • Author

    Morales, G.J. ; Hanqi Zhuang ; Pavlovic, M.

  • Author_Institution
    Dept. of Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2011
  • fDate
    April 27 2011-May 1 2011
  • Firstpage
    161
  • Lastpage
    165
  • Abstract
    A method for modeling and simulating neural action potential (AP) propagation along the length of an axon containing a number of Ranvier nodes is proposed in this paper. A system identification approach is employed to identify a transfer function of the classical Hodgkin-Huxley equations for membrane voltage potential (1952). The identified transfer function model is applied to a site-of-stimulus introduction, of which cascading segments of internodal regions and nodal regions represent the remaining downstream axon. This cascading network is used to simulate "cable" properties and signal propagation along the length of the axon. This work proposes possible solutions to attenuation losses inherited in the classical myelinated cable models and accounts for neuronal AP velocity of propagation.
  • Keywords
    bioelectric potentials; muscle; neurophysiology; physiological models; Hodgkin-Huxley equations; N-node myelinated axon model; Ranvier nodes; membrane voltage potential; myelinated cable models; neural action potential; system identification; transfer function model; Attenuation; Computational modeling; Mathematical model; Nerve fibers; Numerical models; System identification; Transfer functions; Action Potential; Myelinated Neural Modeling; Node of Ranvier; System Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
  • Conference_Location
    Cancun
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-4140-2
  • Type

    conf

  • DOI
    10.1109/NER.2011.5910513
  • Filename
    5910513