Computational Neuroscience (Springer Optimization and Its Applications)

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.