Multiscale Analysis and Nonlinear Dynamics From Genes to the Brain

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  • Format: Hardcover
  • Copyright: 2013-09-30
  • Publisher: Wiley-VCH
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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.

Author Biography

Dr. Misha (Meyer) Z. Pesenson has held positions in academia, including UCLA and Caltech, since 1990. He is currently Research Scientist at the Computing and Mathematical Sciences Dept., California Institute of Technology. Dr. Pesenson's research focuses on multiscale modeling, nonlinear dynamics, neural networks, and complex information processing.

The Series Editor
Heinz Georg Schuster is Professor of Theoretical Physics at the University of Kiel in Germany. He was a visiting professor at the Weizmann-Institute of Science in Israel and at the California Institute of Technology in Pasadena, USA. He authored and edited many books on nonlinear phenomena and chaos control.

Table of Contents

* Adaptive Data Analysis Methods and Quantification of Complexity. Norden E. Huang, National Central University Taiwan
* Shannon Sampling of Bandlimited Functions on Graphs. Isaac Z. Pesenson, Temple University, Philadelphia
* Discrete Geometric Structures in Homogenization and Inverse Homogenization. Mathieu Desbrun, California Institute of Technology

* Dynamics of synthetic transcription networks.
Friedrich Christian Simmel, Technical University of Munich
* Synthetic biochemical dynamic circuits. Yannick Rondolez, University of Tokyo
* Multi-scale Nonlinear Dynamics in Cardiac Electrophysiology. Zhilin Qu, David Geffen School of Medicine at UCLA

* Self-organization of synaptic connections in the visual cortex under synchronous oscillation.
James Joseph Wright, University of Auckland
* Linking nonlinear neural dynamics to single-trial human behavior. Michael X Cohen, University of Amsterdam
* Measures of spike train synchrony: From single neurons to populations. Thomas Kreuz, ISC/CNR Italy
* Multiscale Network Organization in the Human Brain.
Danielle S. Bassett, University of California
* The multi-scale dynamics of sleep slow waves in the human brain. Michel Le Van Quyen, CNRS INSERM Paris
* Brain Dynamics at Rest: How Structure Shapes Dynamics.
Gustavo Deco, University Pompeu Fabra Barcelona
* Theoretical and experimental electrophysiology in human neocortex. Paul L Nunez, Cognitive Dissonance, LLC, USA

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