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Learning on Silicon
. Ed(S): Cauwenberghs, Gert; Bayoumi, Magdy A.
€ 193.43
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Description for Learning on Silicon
Hardback. Combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. This book features five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. It is intended as a reference for beginners and experienced researchers. Editor(s): Cauwenberghs, Gert; Bayoumi, Magdy A. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 426 pages, biography. BIC Classification: TJF; UY. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 235 x 155 x 25. Weight in Grams: 802.
Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power to handle demanding signal processing tasks in sensory perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and learning.
This edited volume covers the spectrum of Learning on Silicon in five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. ... Read more
Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power to handle demanding signal processing tasks in sensory perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and learning.
This edited volume covers the spectrum of Learning on Silicon in five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
Kluwer Academic Publishers United States
Number of pages
426
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
426
Place of Publication
Dordrecht, Netherlands
ISBN
9780792385554
SKU
V9780792385554
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Learning on Silicon
` This is an excellent book which takes the reader from the physical basis of learning on silicon to algorithms and architectures. The contributed chapters are authoritatively written and the material is well organized, strongly recommended to anyone interested in neuromorphic engineering, adaptive hardware systems.' A.G. Andreou, Johns Hopkins University