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
fDate :
5/1/1989 12:00:00 AM
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;
Journal_Title :
Circuits and Systems, IEEE Transactions on