東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling excitable tissue = the EMI ...

Tveito, Aslak.

Linked to FindBook

Google Book

Amazon

博客來

Modeling excitable tissue = the EMI framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling excitable tissue/ edited by Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes.
Reminder of title:	the EMI framework /
other author:	Tveito, Aslak.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvii, 100 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Excitation (Physiology) - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-61157-6
ISBN:	9783030611576

Modeling excitable tissue = the EMI framework /
Modeling excitable tissuethe EMI framework /[electronic resource] :edited by Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes. - Cham :Springer International Publishing :2021. - xvii, 100 p. :ill., digital ;24 cm. - Simula SpringerBriefs on computing: Reports on computational physiology,v.72730-7735 ;. - Simula SpringerBriefs on computing.Reports on computational physiology ;v.7..

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.

Open access.

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.

ISBN: 9783030611576

Standard No.: 10.1007/978-3-030-61157-6doiSubjects--Topical Terms:

3487128
Excitation (Physiology)
--Mathematical models.

LC Class. No.: QP363 / .M63 2021

Dewey Class. No.: 612.014

Modeling excitable tissue = the EMI framework /
LDR:02140nmm a2200349 a 4500 001 2236072
003 DE-He213
005 20201030114954.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030611576 $q (electronic bk.)
020 $a 9783030611569 $q (paper)
024 7 $a 10.1007/978-3-030-61157-6 $2 doi
035 $a 978-3-030-61157-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QP363 $b .M63 2021
072 7 $a PDE $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PDE $2 thema
082 0 4 $a 612.014 $2 23
090 $a QP363 $b .M689 2021
245 0 0 $a Modeling excitable tissue $h [electronic resource] : $b the EMI framework / $c edited by Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 100 p. : $b ill., digital ; $c 24 cm.
490 1 $a Simula SpringerBriefs on computing: Reports on computational physiology, $x 2730-7735 ; $v v.7
505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a Excitation (Physiology) $x Mathematical models. $3 3487128
650 0 $a Cell physiology. $3 600217
650 0 $a Computational biology. $3 590653
650 1 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
700 1 $a Tveito, Aslak. $3 897492
700 1 $a Mardal, Kent-Andre. $3 1568657
700 1 $a Rognes, Marie E. $3 3487126
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Simula SpringerBriefs on computing. $p Reports on computational physiology ; $v v.7. $3 3487127
856 4 0 $u https://doi.org/10.1007/978-3-030-61157-6
950 $a Mathematics and Statistics (SpringerNature-11649)