Overview
- Presents major results and latest trends in the field of computational neuroscience
- Provides a collection of selected contributions giving a state-of-the-art account of recent developments in the field
- Includes chapters written by experts in their respective disciplines
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 38)
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About this book
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 quantitative investigation of neuroscientific data. To bridge the vital gap between science and medicine, this book brings together diverse research areas ranging from medical 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 neuroscientific 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. , pharmaceutical, 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.
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Keywords
Table of contents (20 chapters)
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Front Matter
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Data Mining
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Front Matter
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Modeling
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Front Matter
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Brain Dynamics/Synchronization
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Reviews
From the book reviews:
“This text has a broad overlapping content concerning the biophysics, basic and clinical neurophysiology and neurosurgical approaches to computation. … I recommend this fascinating book for neurologists, neurosurgeons, physiologists, and intermediate students seeking to augment their knowledge in this burgeoning field of computation.” (Joseph J. Grenier, Amazon.com, August, 2014)
Editors and Affiliations
Bibliographic Information
Book Title: Computational Neuroscience
Editors: Wanpracha Chaovalitwongse, Panos M. Pardalos, Petros Xanthopoulos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-88630-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-0-387-88629-9Published: 12 May 2010
Softcover ISBN: 978-1-4614-2599-1Published: 01 July 2012
eBook ISBN: 978-0-387-88630-5Published: 03 July 2010
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XVI, 396
Topics: Neurosciences, Health Informatics, Biomedical Engineering and Bioengineering, Computational Mathematics and Numerical Analysis, Mathematical Modeling and Industrial Mathematics