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Silicon Implementation of Pulse Coded Neural Networks
. Ed(S): Zaghloul, Mona E.; Meador, Jack L. (Department Of Electrical Engineering And Computer Science, George Washington University, Usa); Newcomb,
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Description for Silicon Implementation of Pulse Coded Neural Networks
hardcover. Presents state-of-the-art research results which address conventional abstract notions of neural-like processing, as well as the more specific details of neural-like processors. The text seeks to cover many of the relevant contemporary studies coming out of this newly emerging area. Editor(s): Zaghloul, Mona E.; Meador, Jack L. (Department of Electrical Engineering and Computer Science, George Washington University, USA); Newcomb, Robert W. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 301 pages, biography. BIC Classification: TJFC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 609.
When confronted with the hows and whys of nature's computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research ... Read more
When confronted with the hows and whys of nature's computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research ... Read more
Product Details
Format
Hardback
Publication date
1994
Publisher
Kluwer Academic Publishers United States
Number of pages
301
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
292
Place of Publication
Dordrecht, Netherlands
ISBN
9780792394495
SKU
V9780792394495
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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