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RT Book, Whole SR Electronic DC OPAC T1 Computational Neuroscience / edited by Wanpracha Chaovalitwongse, Panos M. Pardalos, Petros Xanthopoulos T2 Springer Optimization and Its Applications A1 Chaovalitwongse, Wanpracha A1 Pardalos, Panos M. A1 Xanthopoulos, Petros A1 SpringerLink (Online service) YR 2010 FD 2010 SP XVI, 396 p K1 Medicine K1 Neurosciences K1 Health informatics K1 Computer mathematics K1 Mathematical models K1 Biomedical engineering K1 Biomedicine K1 Neurosciences K1 Health Informatics K1 Biomedical Engineering K1 Computational Mathematics and Numerical Analysis K1 Mathematical Modeling and Industrial Mathematics PB Springer New York : Imprint: Springer PP New York, NY SN 9780387886305 LA English (英語) CL DC23:612.8 NO 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 a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. 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. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience NO 書誌ID=1003002422; LK [E Book]http://dx.doi.org/10.1007/978-0-387-88630-5 OL 30