Learning on Silicon: Adaptive VLSI Neural Systems: 512 (The Springer International Series in Engineering and Computer Science, 512) - Hardcover

 
9780792385554: Learning on Silicon: Adaptive VLSI Neural Systems: 512 (The Springer International Series in Engineering and Computer Science, 512)
Hardcover
ISBN 10: 0792385551 ISBN 13: 9780792385554
Publisher: Kluwer Academic Publishers, 1999

Synopsis

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. The 18 chapters are documented with examples of fabricated systems, experimental results from silicon, and integrated applications ranging from adaptive optics to biomedical instrumentation.
As the first comprehensive treatment on the subject, Learning on Silicon serves as a reference for beginners and experienced researchers alike. It provides excellent material for an advanced course, and a source of inspiration for continued research towards building intelligent adaptive machines.

"synopsis" may belong to another edition of this title.

Review

` 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

Synopsis

"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. The 18 chapters are documented with examples of fabricated systems, experimental results from silicon, and integrated applications ranging from adaptive optics to biomedical instrumentation. As the first comprehensive treatment on the subject, "Learning on Silicon" serves as a reference for beginners and experienced researchers alike. It provides excellent material for an advanced course, and a source of inspiration for continued research towards building intelligent adaptive machines.

"About this title" may belong to another edition of this title.

Publisher
Kluwer Academic Publishers
Publication date
1999
Language
English
ISBN 10 
0792385551
ISBN 13 
9780792385554
Binding
Hardcover
Number of pages
442
Editor
Cauwenberghs G., Bayoumi Magdy A.