DocumentCode :
1159860
Title :
Implementing neural architectures using analog VLSI circuits
Author :
Maher, Mary Ann C ; DeWeerth, Stephen P. ; Mahowald, Misha A. ; Mead, Carver A.
Author_Institution :
California Inst., Technol., Pasadena, CA, USA
Volume :
36
Issue :
5
fYear :
1989
fDate :
5/1/1989 12:00:00 AM
Firstpage :
643
Lastpage :
652
Abstract :
Analog very large-scale integrated (VLSI) technology can be used not only to study and simulate biological systems, but also to emulate them in designing artificial sensory systems. A methodology for building these systems in CMOS VLSI technology has been developed using analog micropower circuit elements that can be hierarchically combined. Using this methodology, experimental VLSI chips of visual and motor subsystems have been designed and fabricated. These chips exhibit behavior similar to that of biological systems, and perform computations useful for artificial sensory systems
Keywords :
CMOS integrated circuits; VLSI; linear integrated circuits; neural nets; CMOS; VLSI chips; VLSI technology; analog CMOS; analog VLSI circuits; analog micropower circuit elements; artificial sensory systems; hierarchically combined; motor subsystems; neural architectures; Analog computers; Biological system modeling; Biological systems; Biology computing; Buildings; CMOS technology; Computer architecture; Integrated circuit technology; Physics computing; Very large scale integration;
fLanguage :
English
Journal_Title :
Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-4094
Type :
jour
DOI :
10.1109/31.31311
Filename :
31311
Link To Document :
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