Synopses & Reviews
The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from large enough numbers of neurons to empirically test the theories of human brain function. This book will contain the state of art research papers on the field of computational neuroscience.
This volume bridges a vital gap between the mathematical sciences and neuroscience research by bringing research areas from scientific and medical fields together. The volume will cover a wide range of research topics with a common goal of better understanding the human neurophysiological systems. The contributors are chosen from those who have closely been involved in many diverse applications in neuroscience field. Authors from many disiplines (Electrical Engineering, Biomedical Engineering, Industrial Engineering, medicine) present their latest research results. Data mining, signal processing, optimization and medical science are combined to tackle the most challenging modern neuroscience problems. The material in the book is covered in a way that fits in with the regulatory environment, with extensively references to the key journals/magazines in the area. This book is expository in nature and it will translate the technical languages into industries' commonly-used terminology, which will make this volume even more beneficial to both scientists and physicians.
The topics of this book will be of great interest to scientists, graduate students and practitioners in engineering (electrical, industrial, biomedical), applied methemiatics and medical sciences.
Synopsis
. (460?. ?-360?. ?. ) Thereareinfacttwothings, scienceandopinion;theformerbegetsknowledge, the latterignorance. Hippocrates(460BC-360BC) This book represents a collection of recent advances in computational studies in neuroscience research that practically applies to a collaborative and integrative environment in engineering and medical domains. This work has been designed to address the explosion of interest by academic researchers and practitioners in highly-effective coordination between computational models and tools and quan- tative investigation of neuroscienti?c data. To bridge the vital gap between science and medicine, this book brings together diverse research areas ranging from me- cal signal processing, image analysis, and data mining to neural network modeling, regulation of gene expression, and brain dynamics. We hope that this work will also be of value to investigators and practitioners in academic institutions who become involved in computational modeling as an aid in translating information in neuroscienti?c data to their colleagues in medical - main. This volume will be very appealing to graduate (and advanced undergraduate) students, researchers, and practitioners across a wide range of industries (e. g., ph- maceutical, chemical, biological sciences), who require a detailed overview of the practical aspects of computational modeling in real-life neuroscience problems. For this reason, our audience is assumed to be very diverse and heterogenous, including: vii viii Preface - researchers from engineering, computer science, statistics, and mathematics - mains as well as medical and biological scientists; - physicians working in scienti?c research to understand how basic science can be linked with biological systems.
Synopsis
This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.
Synopsis
This volume includes contributions from numerous disciplines, bridging a vital gap between the mathematical sciences and neuroscience research. This book demonstrates how methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging modern neuroscience problems.