TY - BOOK ID - 66113089 TI - Modeling excitable tissue : the EMI framework AU - Tveito, Aslak AU - Mardal, Kent-Andre. AU - Rognes, Marie E. PY - 2021 SN - 3030611574 3030611566 PB - Springer Nature DB - UniCat KW - Biomathematics. KW - Applied mathematics. KW - Engineering mathematics. KW - Mathematical models. KW - Mathematical and Computational Biology. KW - Applications of Mathematics. KW - Mathematical Modeling and Industrial Mathematics. KW - Models, Mathematical KW - Simulation methods KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Biology KW - Mathematics KW - Bioinformatics. KW - Cell physiology. KW - Computational biology. KW - Excitation (Physiology) KW - Irritability KW - Nervous system KW - Physiology KW - Psychology KW - Bioinformatics KW - Cell function KW - Cytology KW - Bio-informatics KW - Biological informatics KW - Information science KW - Computational biology KW - Systems biology KW - Data processing KW - Mathematical and Computational Biology KW - Applications of Mathematics KW - Mathematical Modeling and Industrial Mathematics KW - applied mathematics KW - scientific computing KW - computational physiology KW - finite element methods KW - cardiac modelling KW - biomechanics KW - numerical methods KW - preconditioning KW - open access KW - Maths for scientists KW - Mathematical modelling KW - Maths for engineers UR - https://www.unicat.be/uniCat?func=search&query=sysid:66113089 AB - 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. ER -