---

＜電子ブック＞
Models of Calcium Signalling / by Geneviève Dupont, Martin Falcke, Vivien Kirk, James Sneyd
(Interdisciplinary Applied Mathematics. ISSN:21969973 ; 43)

版	1st ed. 2016.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2016
大きさ	XXIII, 436 p. 152 illus., 38 illus. in color : online resource
著者標目	*Dupont, Geneviève author Falcke, Martin author Kirk, Vivien author Sneyd, James author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Bioinformatics LCSH:Neurosciences FREE:Mathematical and Computational Biology FREE:Computational and Systems Biology FREE:Neuroscience
一般注記	Some Background Physiology -- The Calcium Toolbox -- Basic Modeling Principles: Deterministic Models -- Hierarchical and Stochastic Modeling -- Nonlinear Dynamics of Calcium -- Nonexcitable Cells -- Muscle -- Neurons and Other Excitable Cells This book discusses the ways in which mathematical, computational, and modelling methods can be used to help understand the dynamics of intracellular calcium. The concentration of free intracellular calcium is vital for controlling a wide range of cellular processes, and is thus of great physiological importance. However, because of the complex ways in which the calcium concentration varies, it is also of great mathematical interest.This book presents the general modelling theory as well as a large number of specific case examples, to show how mathematical modelling can interact with experimental approaches, in an interdisciplinary and multifaceted approach to the study of an important physiological control mechanism. Geneviève Dupont is FNRS Research Director at the Unit of Theoretical Chronobiology of the Université Libre de Bruxelles;Martin Falcke is head of the Mathematical Cell Physiology group at the Max Delbrück Center for Molecular Medicine, Berlin;Vivien Kirk is an Associate Professor in the Department of Mathematics at the University of Auckland, New Zealand; James Sneyd is a Professor in the Department of Mathematics at The University of Auckland, New Zealand. HTTP:URL=https://doi.org/10.1007/978-3-319-29647-0

 類似資料