Fractional cable equation models for anomalous electrodiffusion in nerve cells: infinite domain solutions
Article
Article Title | Fractional cable equation models for anomalous electrodiffusion in nerve cells: infinite domain solutions |
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ERA Journal ID | 929 |
Article Category | Article |
Authors | Langlands, Trevor (Author), Henry, B. I. (Author) and Wearne, S. L. (Author) |
Journal Title | Journal of Mathematical Biology |
Journal Citation | 59 (6), pp. 761-808 |
Number of Pages | 48 |
Year | 2009 |
Place of Publication | Germany |
ISSN | 0303-6812 |
1432-1416 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00285-009-0251-1 |
Web Address (URL) | https://link.springer.com/article/10.1007/s00285-009-0251-1 |
Abstract | We introduce fractional Nernst-Planck equations and derive fractional cable equations as macroscopic models for electrodiffusion of ions in nerve cells when molecular diffusion is anomalous subdiffusion due to binding, crowding or trapping. The anomalous subdiffusion is modelled by replacing diffusion constants with time dependent operators parameterized by fractional order exponents. Solutions are obtained as functions of the scaling parameters for infinite cables and semi-infinite cables with instantaneous current injections. Voltage attenuation along dendrites in response to alpha function synaptic inputs is computed. Action potential firing rates |
Keywords | dendrite, cable equation, anomalous diffusion, fractional derivative |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 490510. Stochastic analysis and modelling |
490410. Partial differential equations | |
490102. Biological mathematics | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of New South Wales |
Icahn School of Medicine at Mount Sinai, United States |
https://research.usq.edu.au/item/9z19x/fractional-cable-equation-models-for-anomalous-electrodiffusion-in-nerve-cells-infinite-domain-solutions
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