A variant of pseudospectral method for activity-dependent dendritic branch model

M. Dur-e-Ahmad; Zdzislaw Jackiewicz; B. Zubik-Kowal; Sharon Crook

doi:10.1016/j.jneumeth.2007.06.017

A variant of pseudospectral method for activity-dependent dendritic branch model

M. Dur-e-Ahmad, Zdzislaw Jackiewicz, B. Zubik-Kowal, Sharon Crook

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A new variant of the pseudospectral method for an activity-dependent dendritic branch model is proposed. This algorithm incorporates the Neumann boundary conditions in a more efficient way than in the algorithms proposed before for similar problems. Numerical experiments indicate that the new algorithm is more efficient than the previous algorithms discussed in the literature on the subject.

Original language	English (US)
Pages (from-to)	306-319
Number of pages	14
Journal	Journal of Neuroscience Methods
Volume	165
Issue number	2
DOIs	https://doi.org/10.1016/j.jneumeth.2007.06.017
State	Published - Sep 30 2007

Keywords

Cable equation
Dendritic spines
Hodgkin-Huxley kinetics
Spectral collocation
Synaptic activity

ASJC Scopus subject areas

General Neuroscience

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10.1016/j.jneumeth.2007.06.017

Cite this

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title = "A variant of pseudospectral method for activity-dependent dendritic branch model",

abstract = "A new variant of the pseudospectral method for an activity-dependent dendritic branch model is proposed. This algorithm incorporates the Neumann boundary conditions in a more efficient way than in the algorithms proposed before for similar problems. Numerical experiments indicate that the new algorithm is more efficient than the previous algorithms discussed in the literature on the subject.",

keywords = "Cable equation, Dendritic spines, Hodgkin-Huxley kinetics, Spectral collocation, Synaptic activity",

author = "M. Dur-e-Ahmad and Zdzislaw Jackiewicz and B. Zubik-Kowal and Sharon Crook",

note = "Funding Information: The authors wish to express their gratitude to S.M. Baer for useful discussions related to some parts of this paper. Thanks are also due to anonymous referees for their useful comments. The work of Z. Jackiewicz was partially supported by NSF grant DMS–0509597.",

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T1 - A variant of pseudospectral method for activity-dependent dendritic branch model

AU - Dur-e-Ahmad, M.

AU - Jackiewicz, Zdzislaw

AU - Zubik-Kowal, B.

AU - Crook, Sharon

N1 - Funding Information: The authors wish to express their gratitude to S.M. Baer for useful discussions related to some parts of this paper. Thanks are also due to anonymous referees for their useful comments. The work of Z. Jackiewicz was partially supported by NSF grant DMS–0509597.

PY - 2007/9/30

Y1 - 2007/9/30

N2 - A new variant of the pseudospectral method for an activity-dependent dendritic branch model is proposed. This algorithm incorporates the Neumann boundary conditions in a more efficient way than in the algorithms proposed before for similar problems. Numerical experiments indicate that the new algorithm is more efficient than the previous algorithms discussed in the literature on the subject.

AB - A new variant of the pseudospectral method for an activity-dependent dendritic branch model is proposed. This algorithm incorporates the Neumann boundary conditions in a more efficient way than in the algorithms proposed before for similar problems. Numerical experiments indicate that the new algorithm is more efficient than the previous algorithms discussed in the literature on the subject.

KW - Cable equation

KW - Dendritic spines

KW - Hodgkin-Huxley kinetics

KW - Spectral collocation

KW - Synaptic activity

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EP - 319

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

IS - 2

ER -

A variant of pseudospectral method for activity-dependent dendritic branch model

Abstract

Keywords

ASJC Scopus subject areas

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