Neuromorphic Systems Engineering - Neural Networks in Silicon (Hardcover, 1998 ed.)

Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses GBP/LISTGBP Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	The Springer International Series in Engineering and Computer Science, 447
Release date:	April 1998
First published:	1998
Editors:	Tor Sverre Lande
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Hardcover
Pages:	462
Edition:	1998 ed.
ISBN-13:	978-0-7923-8158-7
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
LSN:	0-7923-8158-0
Barcode:	9780792381587

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