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.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3005826
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