An Introduction to Neural Information Processing

By: Peiji Liang, Si Wu, Fanji Gu

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Hardcover | 6 January 2016

At a Glance

Hardcover
342 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

Hardcover

$249.00

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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.

Industry 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)

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