Computational methods for a mathematical model of propagation of nerve impulses in myelinated axons
Affiliation
CEMAT, IST, Lisbon ; University of Chester ; University of ChesterPublication Date
2014-06-26
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This paper is concerned with the approximate solution of a nonlinear mixed type functional differential equation (MTFDE) arising from nerve conduction theory. The equation considered describes conduction in a myelinated nerve axon. We search for a monotone solution of the equation defined in the whole real axis, which tends to given values at ±∞. We introduce new numerical methods for the solution of the equation, analyse their performance, and present and discuss the results of the numerical simulations.Citation
Applied Numerical Mathematics, 2014, 85, pp. 38–53.Publisher
ElsevierJournal
Applied Numerical MathematicsAdditional Links
http://www.journals.elsevier.com/applied-numerical-mathematics/Type
ArticleLanguage
enDescription
NOTICE: this is the author’s version of a work that was accepted for publication in Applied Numerical Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Numerical Mathematics, 85, November 2014, pp. 38-53. DOI: 1016/j.apnum.2014.06.0046.004ISSN
0168-9274EISSN
1873-5460ae974a485f413a2113503eed53cd6c53
1016/j.apnum.2014.06.0046.004
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