DocumentCode
2609550
Title
Analog VLSI neuromorphic systems
Author
Andreou, Andreas G.
Author_Institution
Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
1471
Abstract
The implementation of neuromorphic systems in analog VLSI technology is discussed. As an example, a silicon retina (nearest neighborhood connectivity) and the H-J independent component analyzer (fully connected) auto-adaptive network with on-chip analog storage and learning circuitry are considered
Keywords
VLSI; analogue processing circuits; analogue storage; learning (artificial intelligence); neural chips; H-J independent component analyzer; analog VLSI technology; auto-adaptive network; learning circuitry; nearest neighborhood connectivity; neuromorphic systems; on-chip analog storage; silicon retina; Circuits; Computational modeling; Hardware; Neuromorphics; Neurons; Power dissipation; Power system modeling; Retina; Silicon; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394012
Filename
394012
Link To Document