2010
DOI: 10.1090/s0025-5718-2010-02438-x
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Finite difference/spectral approximations for the fractional cable equation

Abstract: Abstract. The Cable equation has been one of the most fundamental equations for modeling neuronal dynamics. In this paper, we consider the numerical solution of the fractional Cable equation, which is a generalization of the classical Cable equation by taking into account the anomalous diffusion in the movement of the ions in neuronal system. A schema combining a finite difference approach in the time direction and a spectral method in the space direction is proposed and analyzed. The main contribution of this… Show more

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Cited by 171 publications
(75 citation statements)
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References 33 publications
(35 reference statements)
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“…There are several approaches via finite differences, finite elements and spectral methods. For instance, a finite difference scheme is proposed and analyzed in [15,16] to deal with ∂ γ t and the so-called fractional cable equation. Semidiscrete finite element methods have been analyzed in [12] for (1.1) with γ ∈ (0, 1) and s = 1.…”
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confidence: 99%
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“…There are several approaches via finite differences, finite elements and spectral methods. For instance, a finite difference scheme is proposed and analyzed in [15,16] to deal with ∂ γ t and the so-called fractional cable equation. Semidiscrete finite element methods have been analyzed in [12] for (1.1) with γ ∈ (0, 1) and s = 1.…”
mentioning
confidence: 99%
“…The finite difference scheme proposed in [15,16] has a consistency error O(τ 2−γ ), where τ denotes the time step. This error estimate, however, requires a rather strong regularity assumption in time which is problematic; see [17] and §3.2.…”
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confidence: 99%
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“…Note that when δ is a positive integer, (9) can be expressed in terms of the derivative of a two-parameter Mittag-Leffler function E α β ( ) := E 1 α β ( ), see [17], eq. (9.7):…”
Section: Generalized Mittag-leffler Functionmentioning
confidence: 99%
“…In [6] the FCE on bounded space domains for general mixed Robin boundary conditions is solved analytically. Numerical methods for solving the FCE with Dirichlet boundary conditions are developed in [7][8][9]. for α < β.…”
Section: Introductionmentioning
confidence: 99%