Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected in large scales across the entire brain. The spatial architectures between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate brain connectivity amongst these structural and functional domains? Our Handbook provides an account of the current knowledge on the measurement,...
Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor ...
One of the most striking features of Coordination Dynamics is its interdisciplinary character. The problems we are trying to solve in this field range from behavioral phenomena of interlimb coordination and coordination between stimuli and movements (perception-action tasks) through neural activation patterns that can be observed during these tasks to clinical applications and social behavior. It is not surprising that close collaboration among scientists from different fields as psychology, kinesiology, neurology and even physics are imperative to deal with the enormous difficulties we...
One of the most striking features of Coordination Dynamics is its interdisciplinary character. The problems we are trying to solve in this field ra...
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.
In particular, mathematically justified algorithms and methods, the mathematical analysis of these algorithms, and methods as well as the investigation of connections between methods from time series analysis and image processing are reviewed. An interdisciplinary comparison of these methods, drawing upon common sets of test problems from medicine and...
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in elec...
In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.
In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this n...
What is life? What type of system is life? How can we understand life? Or what does "understanding life" really mean? Sixty years since the publication of What Is Life? by Schrodinger ] and after the rise and success of molecular biology, have we reached the answer to these questions? In the recent years, I have often been asked by young researchers and students in biology: "I am afraid that such basic questions on a life system itself are not answered by the main-stream approach of c- rent biology that elucidates molecules and genes. We need some alternative approach....
What is life? What type of system is life? How can we understand life? Or what does "understanding life" really mean? Sixty years since the publicatio...
Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine; nonlinear data analysis has helped to detect the progress of cardiac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural...
Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential...
The ?eld of applied nonlinear dynamics has attracted scientists and engineers across many different disciplines to develop innovative ideas and methods to study c- plex behavior exhibited by relatively simple systems. Examples include: population dynamics, ?uidization processes, applied optics, stochastic resonance, ?ocking and ?ightformations, lasers, andmechanicalandelectricaloscillators. Acommontheme among these and many other examples is the underlying universal laws of nonl- ear science that govern the behavior, in space and time, of a given system. These laws are universal in the sense...
The ?eld of applied nonlinear dynamics has attracted scientists and engineers across many different disciplines to develop innovative ideas and method...
Theconcernofthisbookistheuseofemergentcomputingandself-organization modellingwithinvariousapplicationsofcomplexsystems. Wefocusouratt- tion both on the innovative concepts and implementations in order to model self-organizations, but also on the relevant applicative domains in which they can be used e?ciently. First part deals with general modelling and methodology as conceptual - proaches for complex systems description. An introductive chapter by Michel Cotsaftis entitled A Passage to Complex Systems, treats the notion of Complex Systems in opposition to that of a Complicated System . This...
Theconcernofthisbookistheuseofemergentcomputingandself-organization modellingwithinvariousapplicationsofcomplexsystems. Wefocusouratt- tion both on th...
social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- ] tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and...
social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (g...
Path following in combination with boundary value problem solvers has emerged as a continuing and strong influence in the development of dynamical systems theory and its application. It is widely acknowledged that the software package AUTO - developed by Eusebius J. Doedel about thirty years ago and further expanded and developed ever since - plays a central role in the brief history of numerical continuation.This book has been compiled on the occasion of Sebius Doedel's 60th birthday. Bringing together for the first time a large amount of material in a single, accessible source, it is hoped...
Path following in combination with boundary value problem solvers has emerged as a continuing and strong influence in the development of dynamical sys...
