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001430872 001__ 1430872
001430872 003__ OCoLC
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001430872 020__ $$a9783030611576$$q(electronic bk.)
001430872 020__ $$a3030611574$$q(electronic bk.)
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001430872 0247_ $$a10.1007/978-3-030-61157-6$$2doi
001430872 035__ $$aSP(OCoLC)1202752169
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001430872 050_4 $$aQP363$$b.M63 2021
001430872 08204 $$a612/.014$$223
001430872 24500 $$aModeling excitable tissue :$$bthe EMI framework /$$cAslak Tveito, Kent-Andre Mardal, Marie E. Rogers, Editors.
001430872 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001430872 300__ $$a1 online resource
001430872 336__ $$atext$$btxt$$2rdacontent
001430872 337__ $$acomputer$$bc$$2rdamedia
001430872 338__ $$aonline resource$$bcr$$2rdacarrier
001430872 347__ $$atext file$$2rdaft$$0http://rdaregistry.info/termList/fileType/1002
001430872 347__ $$bPDF
001430872 4901_ $$aSimula Springer Briefs on Computing: Reports on Computational Physiology ;$$vVolume 7
001430872 504__ $$aIncludes bibliographical references and index.
001430872 5050_ $$aDerivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
001430872 5060_ $$aOpen access.$$5GW5XE
001430872 520__ $$aThis 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.
001430872 588__ $$aOnline resource; title from digital title page (viewed on December 18, 2020).
001430872 650_0 $$aExcitation (Physiology)$$xMathematical models.
001430872 650_0 $$aCell physiology.
001430872 650_0 $$aComputational biology.
001430872 650_0 $$aBioinformatics.
001430872 650_0 $$aMathematical models.
001430872 650_6 $$aExcitation (Physiologie)$$xModèles mathématiques.
001430872 650_6 $$aCellules$$xPhysiologie.
001430872 650_6 $$aBio-informatique.
001430872 650_6 $$aModèles mathématiques.
001430872 655_0 $$aElectronic books.
001430872 7001_ $$aTveito, Aslak,$$d1961-$$eeditor.
001430872 7001_ $$aMardal, Kent-Andre,$$eeditor.
001430872 7001_ $$aRogers, Marie E.,$$eeditor.
001430872 77608 $$iPrint version:$$tModeling excitable tissue.$$dCham, Switzerland : Springer, [2021]$$z9783030611569$$w(OCoLC)1193124791
001430872 830_0 $$aSimula Springer Briefs on Computing.$$pReports on Computational Physiology ;$$vv. 7.
001430872 852__ $$bebk
001430872 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-61157-6$$zOnline Access$$91397441.2
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001430872 980__ $$aBIB
001430872 980__ $$aEBOOK
001430872 982__ $$aEbook
001430872 983__ $$aOnline
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