Learning on Silicon

Adaptive VLSI Neural Systems

426 Seiten, Hardcover

Kurzbeschreibung des Verlags

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 onSilicon 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.

• Reihe: The Springer International Series in Engineering and Computer Science
• ISBN: 9780792385554
• Sprache: Englisch
• Erscheinungsdatum: 30.06.1999
• Genre: Technik/Elektronik, Elektrotechnik, Nachrichtentechnik
• Verlag: Springer US
• Herausgegeben von: G. Cauwenberghs, Magdy A. Bayoumi