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
fDate :
April 27 2011-May 1 2011
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;
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-4140-2
DOI :
10.1109/NER.2011.5910513