Multiscale Analysis and Nonlinear Dynamics: From Genes to by Misha Meyer Pesenson, Heinz Georg Schuster

By Misha Meyer Pesenson, Heinz Georg Schuster

In view that modeling multiscale phenomena in platforms biology and neuroscience is a hugely interdisciplinary
task, the editor of the publication invited specialists in bio-engineering, chemistry, cardiology, neuroscience,
computer technological know-how, and utilized arithmetic, to supply their views.

Each bankruptcy is a window into the present cutting-edge within the parts of study mentioned and the publication is meant for complicated researchers attracted to fresh advancements in those fields. whereas multiscale
analysis is the main integrating subject of the ebook, its subtitle doesn't demand bridging the
scales from genes to behaviour, yet particularly stresses the unifying viewpoint provided through the concepts
referred to within the identify.

It is assumed that the interdisciplinary method followed right here may be helpful for the entire above pointed out fields.

Show description

Read or Download Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain PDF

Similar mathematical physics books

An Introduction to Chaos in Nonequilibrium Statistical Mechanics

This publication is an advent to the purposes in nonequilibrium statistical mechanics of chaotic dynamics, and in addition to using recommendations in statistical mechanics vital for an knowing of the chaotic behaviour of fluid structures. the basic ideas of dynamical platforms concept are reviewed and easy examples are given.

Labyrinth of Thought: A History of Set Theory and Its Role in Modern Mathematics

"José Ferreirós has written a magisterial account of the historical past of set conception that is panoramic, balanced, and fascinating. not just does this booklet synthesize a lot earlier paintings and supply clean insights and issues of view, however it additionally includes a significant innovation, a full-fledged remedy of the emergence of the set-theoretic strategy in arithmetic from the early 19th century.

Computational Physics: Problem Solving with Python

Using computation and simulation has turn into a vital a part of the medical method. having the ability to rework a conception into an set of rules calls for major theoretical perception, special actual and mathematical realizing, and a operating point of competency in programming. This upper-division textual content offers an strangely large survey of the themes of recent computational physics from a multidisciplinary, computational technological know-how standpoint.

Extra info for Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain

Sample text

For sh 2 S h observe that R Hessðsh ÞRT is a Dirac measure on edges of Vh . , integrated second derivative) of sh along the dual edge orthogonal to edge eij ; then, one has T qh ;sh : S h ! Qh ð2:46Þ sh ! T qh ;sh ½sh Š; with X i;j eij 2E h ðT qh ;sh ½sh ŠÞij deij ¼ R Hessðsh ÞRT : ð2:47Þ For simplicity, let si be sðx i Þ, that is, the value of the convex function s at node i. 4 Notation for computing qhij from the values si ; sj ; sk , and sl . 4). 48) is valid only for interior edges. Because of our choice to interpolate sðxÞ by piecewise linear functions, we have concentrated all of the curvature of sðxÞ on the edges of the mesh, and we need a complete hinge, an edge with two incident triangles, in order to approximate this curvature.

Rev. , 13 (2), 121–134. j17 j19 Part One Multiscale Analysis Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, First Edition. Edited by Misha (Meyer) Z. Pesenson. Ó 2013 Wiley-VCH Verlag GmbH & Co. KGaA. Published 2013 by Wiley-VCH Verlag GmbH & Co. KGaA. j21 2 Modeling Across Scales: Discrete Geometric Structures in Homogenization and Inverse Homogenization Mathieu Desbrun, Roger D. 1 Introduction In this chapter, we introduce a new geometric framework of the homogenization (upscaling) and inverse homogenization (downscaling) of the divergence-form elliptic operator Ds : u !

They then propose general dynamic behaviors to be expected in such systems and outline several tentative connections between theoretical predictions and experimental observations, particularly the large-scale (cm) extracranial electric field recorded with electroencephalographic technology (EEG). Danielle Bassett and Felix Siebenh€ uhner, in their chapter called “Multiscale Network Organization in the Human Brain,” examine the multiscale organization evident in brain network models. Structural brain networks, derived from estimated anatomical pathways, display similar organizational features over different topological and spatial scales.

Download PDF sample

Rated 4.15 of 5 – based on 6 votes