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

M. Dur-e-Ahmad; Z. Jackiewicz; B. Zubik-Kowal; S. Crook

doi:10.1016/j.jneumeth.2007.06.017

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

M. Dur-e-Ahmad
, Z. Jackiewicz
, B. Zubik-Kowal
, S. Crook

Mathematics Department

Arizona State University

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	American English
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 - 30 Sep 2007

Keywords

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

EGS Disciplines

Mathematics

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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 Z. Jackiewicz and B. Zubik-Kowal and S. Crook",

year = "2007",

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

AU - Dur-e-Ahmad, M.

AU - Jackiewicz, Z.

AU - Zubik-Kowal, B.

AU - Crook, S.

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

UR - https://www.scopus.com/pages/publications/34547660229

UR - https://scholarworks.boisestate.edu/crimjust_facpubs/213

U2 - 10.1016/j.jneumeth.2007.06.017

DO - 10.1016/j.jneumeth.2007.06.017

M3 - Article

C2 - 17681381

SN - 0165-0270

VL - 165

SP - 306

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

EGS Disciplines

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