Novel cable equation model for myelinated nerve fiber

P. D. Einziger, L. M. Livshitz, A. Dolgin, J. Mizrahi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The cable equation is capable of handling analytically linear and non-linear non-myelinated axon models. Unfortunately, it hasn't been extended yet analytically for myelinated axon model, which is crucially important for applications involving vertebrates. Herein, the well known non-myelinated axon model is extended analytically by incorporating periodic membrane conductivity. The classical cable equation is thereby modified into a linear second order ordinary differential with periodic coefficient, known as Hill's equation. The general internal source response, expressed via repeated convolutions, uniformly converges provided that the periodic membrane is passive. The solution can be interpreted as an extended source response in an equivalent non-myelinated axon (i.e., the response is governed by the classical cable equation). The extended source consists of the original source and a novel activation function, replacing the periodic membrane in the myelinated axon model. Furthermore, the conductivity of the equivalent axon is the precise average of the periodic myelinated axon conductivity. Hill's formulation is further reduced into Mathieu's equation for the specific choice of sinusoidal conductivity, thereby resulting in explicit closed form expression for the transmembrane potential.

Original languageEnglish
Title of host publicationConference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
EditorsLaura J. Wolf, Jodi L. Strock
PublisherInstitute of Electrical and Electronics Engineers
Pages112-115
Number of pages4
ISBN (Electronic)0780375793
DOIs
StatePublished - 1 Jan 2003
Externally publishedYes
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: 20 Mar 200322 Mar 2003

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2003-January
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference1st International IEEE EMBS Conference on Neural Engineering
Country/TerritoryItaly
CityCapri Island
Period20/03/0322/03/03

Keywords

  • Biomedical engineering
  • Biomembranes
  • Conductivity
  • Differential equations
  • Nerve fibers
  • Nonlinear equations
  • Optical fiber cables
  • Power cables
  • Transmission line theory
  • Voltage

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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