Modeling excitable tissue : the EMI framework / Aslak Tveito, Kent-Andre Mardal, Marie E. Rogers, Editors.
2021
QP363 .M63 2021
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Details
Title
Modeling excitable tissue : the EMI framework / Aslak Tveito, Kent-Andre Mardal, Marie E. Rogers, Editors.
ISBN
9783030611576 (electronic bk.)
3030611574 (electronic bk.)
3030611566
9783030611569
3030611574 (electronic bk.)
3030611566
9783030611569
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-61157-6 doi
Call Number
QP363 .M63 2021
Dewey Decimal Classification
612/.014
Summary
This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.
Bibliography, etc. Note
Includes bibliographical references and index.
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Open access.
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text file
PDF
Source of Description
Online resource; title from digital title page (viewed on December 18, 2020).
Series
Simula Springer Briefs on Computing. Reports on Computational Physiology ; v. 7.
Available in Other Form
Modeling excitable tissue.
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Table of Contents
Derivation of a cell-based mathematical model of excitable cells
A cell-based model for ionic electrodiffusion in excitable tissue
Modeling cardiac mechanics on a subcellular scale
Operator splitting and finite difference schemes for solving the EMI model
Solving the EMI equations using finite element methods
Iterative solvers for EMI models
Improving neural simulations with the EMI model
Index.
A cell-based model for ionic electrodiffusion in excitable tissue
Modeling cardiac mechanics on a subcellular scale
Operator splitting and finite difference schemes for solving the EMI model
Solving the EMI equations using finite element methods
Iterative solvers for EMI models
Improving neural simulations with the EMI model
Index.