Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing (Paperback, 2001 ed.)

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 2036
Release date:	2001
First published:	2001
Editors:	Stefan Wermter • Jim Austin • David Willshaw
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Paperback
Pages:	582
Edition:	2001 ed.
ISBN-13:	978-3-540-42363-8
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-540-42363-X
Barcode:	9783540423638

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