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. Editor(s): Chaovalitwongse, Wanpracha Art; Pardalos, Panos M.; Xanthopoulos, Petros. Series: Springer Optimization and its Applications. Num Pages: 412 pages, 16 black & white tables, biography. BIC Classification: MQW; PBKS; PSAN; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 28. Weight in Grams: 820. . 2010. 2010th Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliografische Details

Titel: Computational Neuroscience
Verlag: Springer
Erscheinungsjahr: 2010
Sprache: Englisch
ISBN-10: 038788629X
ISBN-13: 9780387886299
Einband: Hardcover
Zustand: New

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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.

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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.

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.

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