Overview
- Clearly illustrates neural information processing models at different levels from single cell to the network
- Provided with ample illustrations
- Written by experts in this field?
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Table of contents (6 chapters)
Keywords
About this book
This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.
Reviews
“The book is well organized, leading as it does from the physical system being observed to the lowest level, then up to circuits and networks, along the way describing various models that attempt to describe the behavior of the physical system. … The book should be of interest to anyone interested in the current state of neuroscience. It covers quite a bit of ground in a concise but readable manner.” (G. R. Mayforth, Computing Reviews, computingreviews.com, June, 2016)
Authors and Affiliations
About the authors
Fanji Gu is an emeritus professor from Fudan University. He is an honorary member of the governing board of Shanghai Society for Nonlinear Science and one of the honorary chairpersons of the international conference on cognitive neurodynamics. His continuing research work on neural information processing has won Science and Technology award, awarded by Nationa
l Education Adminisration, for four times in 1988, 1995, 1997 and 1999 respectively.
Bibliographic Information
Book Title: An Introduction to Neural Information Processing
Authors: Peiji Liang, Si Wu, Fanji Gu
DOI: https://doi.org/10.1007/978-94-017-7393-5
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2016
Hardcover ISBN: 978-94-017-7391-1Published: 06 January 2016
Softcover ISBN: 978-94-024-1341-0Published: 31 March 2018
eBook ISBN: 978-94-017-7393-5Published: 22 December 2015
Edition Number: 1
Number of Pages: XI, 328
Number of Illustrations: 165 b/w illustrations, 45 illustrations in colour
Topics: Neurosciences, Computational Biology/Bioinformatics, Information Storage and Retrieval, Artificial Intelligence