Multiscale analysis and nonlinear dynamics : from genes to the brain
著者
書誌事項
Multiscale analysis and nonlinear dynamics : from genes to the brain
（Reviews in nonlinear dynamics and complexity）
Wiley-VCH, c2013
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Since modeling multiscale phenomena in systems biology and neuroscience is a highly interdisciplinary task, the editor of the book invited experts in bio-engineering, chemistry, cardiology, neuroscience, computer science, and applied mathematics, to provide their perspectives. Each chapter is a window into the current state of the art in the areas of research discussed and the book is intended for advanced researchers interested in recent developments in these fields. While multiscale analysis is the major integrating theme of the book, its subtitle does not call for bridging the scales from genes to behavior, but rather stresses the unifying perspective offered by the concepts referred to in the title. It is believed that the interdisciplinary approach adopted here will be beneficial for all the above mentioned fields.
目次
Introduction - Multiscale Analysis: Modeling, Data, Networks, and Dynamics I. MULTIRESOLUTION ANALYSIS Mathieu Desbrun, Roger D. Donaldson, Houman Owhadi: Discrete Geometric Structures in Homogenization and Inverse Homogenization Isaac Z. Pesenson: Multiresolution Analysis on Compact Riemannian Manifolds II. NONLINEAR DYNAMICS of TRANSCRIPTION NETWORKS and SYNTHETIC BIOCHEMICAL CIRCUITS Elisa Franco, Jongmin Kim, Friedrich Simmel: Dynamics of synthetic transcription networks Raphael Plasson, Yannick Rondelez: Synthetic biochemical dynamic circuits III. NONLINEAR DYNAMICS: THE BRAIN AND THE HEART Paul L. Nunez, Ramesh Srinivasan, Lester Ingber: Theoretical and experimental electrophysiology in human neocortex: multiscale dynamic correlates of conscious experience Danielle S. Bassett, Felix Siebenhuhner: Multiscale network organization in the human brain Michel Le Van Quyen, Vicente Botella-Soler, Mario Valderrama: Neuronal oscillations scale up and scale down the brain dynamics Michael X. Cohen, Bradley Voytek: Linking nonlinear neural dynamics to single-trial human behavior Etienne Hugues, Juan R. Vidal, Jean-Philippe Lachaux, Gustavo Deco: Brain dynamics at rest: how structure shapes dynamics Misha Z. Pesenson: Adaptive multiscale encoding - a computational function of neuronal synchronization Zhilin Qu, Michael Nivala: Multi-scale nonlinear dynamics in cardiac electrophysiology: from sparks to sudden death Connor Houghton, Thomas Kreuz: Measures of spike train synchrony: from single neurons to populations
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