Learning on Silicon
Subtitle: Adaptive VLSI Neural Systems (The Springer International Series in Engineering and Computer Science)
Contributors: G. Cauwenberghs (Editor); Magdy A. Bayoumi (Editor)
Edition: 1 edition
Publisher: Springer
Published: June 30, 1999
Language: eng
Format: Hardcover
Number of pages: 440
ISBN-13: 9780792385554
Subjects: Electronics engineering; General Theory of Computing; Science/Mathematics; Large scale integration; Very-Large-Scale Integration (Vlsi); Neural Computing; Computers; Computers - General Information; Technology & Industrial Arts; Neural networks (Computer science); Neural networks (Computer scie; Artificial Intelligence - General; Engineering - Electrical & Electronic; Technology / Electronics / Circuits / General; Neural Networks; Integrated circuits
First sentence: Carver Mead introduced "neuromorphic engineering" [1] as an interdisciplinary approach to the design of biologically inspired neural information processing systems, whereby neurophysiological models of perception and information processing in biological systems are mapped onto analog VLSI systems that not only emulate their functions but also resemble their structure [2].