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Gu, Fanji; Liang, Peiji; Wu, Si - An Introduction to Neural Information Processing - 9789401773911 - V9789401773911
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An Introduction to Neural Information Processing

€ 195.40
FREE Delivery in Ireland
Description for An Introduction to Neural Information Processing Hardback. Num Pages: 328 pages, 165 black & white illustrations, 45 colour illustrations, 1 black & white tables, 45 colo. BIC Classification: PSAN. Category: (P) Professional & Vocational. Dimension: 167 x 245 x 24. Weight in Grams: 668.

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 ... Read more

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Product Details

Format
Hardback
Publication date
2015
Publisher
Springer Netherlands
Number of pages
328
Condition
New
Number of Pages
328
Place of Publication
Dordrecht, Netherlands
ISBN
9789401773911
SKU
V9789401773911
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Gu, Fanji; Liang, Peiji; Wu, Si
Peiji Liang is a professor from Shanghai Jiaotong University. She is council member for both Chinese Neuroscience Society and Chinese Biophysics Society. She also served as the chair of the Computational Neuroscience and Neural Engineering Branch of Chinese Neuroscience Society. She is an associate editor-in-chief for Acta Biophysica Sinica and member of editorial board for Acta Physiologica Sinica. Her current ... Read more

Reviews for An Introduction to Neural Information Processing
“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 ... Read more

Goodreads reviews for An Introduction to Neural Information Processing


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