Modeling Excitable Tissue : The EMI Framework. - Tveito, Aslak; Mardal, Kent-Andre.; Rognes, Marie E. (Cham : Springer International Publishing AG, 2020)
4.4.4 The Implementation -- 4.4.5 Parallelization -- 4.4.6 Performance Results -- 4.5 Software -- 4.6 Conclusion -- References -- Chapter 5 Solving the EMI Equations using Finite Element Methods -- 5.1 Introduction -- 5.1.1 Preliminaries: Function Spaces and Norms -- 5.2 Primal Formulations -- 5.2.1 Single-Dimensional Primal Formulation -- 5.2.2 Multi-Dimensional Primal Formulation -- 5.3 Mixed Formulations -- 5.3.1 Single-Dimensional Mixed Formulation -- 5.3.2 Multi-Dimensional Mixed Formulation -- 5.4 Finite Element Spaces and Methods -- 5.5 Numerical Results -- 5.5.1 Comparison of Convergence between Formulations -- 5.5.2 Post-Processing the Transmembrane Potential -- 5.6 Conclusions and Outlook -- References -- Chapter 6 Iterative Solvers for EMI Models -- 6.1 Introduction -- 6.2 Monolithic Solvers -- 6.2.1 Single-Dimensional Primal Solvers -- 6.2.2 Single-Dimensional Mixed Solvers -- 6.2.3 Multi-Dimensional Solvers -- 6.3 Domain Decomposition Solvers -- 6.4 Solver Comparison -- References -- Chapter 7 Improving Neural Simulations with the EMI Model -- 7.1 Introduction -- 7.2 EMI Simulations of Neurons using the neuronmi Python Package -- 7.3 Investigating the Ephaptic Effect between Neurons -- 7.4 Investigating the Effect of Measuring Devices on Extracellular Potentials -- 7.5 Reduced EMI Model -- 7.6 Conclusions -- References -- Index.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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