DocumentCode
1160430
Title
A multiple-input OTA circuit for neural networks
Author
Reed, Russel D. ; Geiger, Randall L.
Author_Institution
Texas A&M Univ., College Station, TX, USA
Volume
36
Issue
5
fYear
1989
fDate
5/1/1989 12:00:00 AM
Firstpage
767
Lastpage
770
Abstract
An operational transconductance amplifier (OTA) circuit suitable for modeling neurons in VLSI implementations of artificial neural networks (NN) is described. It generates an output voltage which is a sigmoidal-like function of the linear sum of a number of weighted inputs. The weight of each input is individually controlled by a bias voltage which can be varied continuously and dynamically. Large numbers of these cells can be fashioned in regular arrays. It appears to be efficient because each weighted connection is implemented with only two MOSFET transistors
Keywords
MOS integrated circuits; VLSI; neural nets; operational amplifiers; MOS IC; MOSFET; VLSI; artificial neural networks; modeling neurons; multiple-input OTA circuit; neural networks; operational transconductance amplifier; regular arrays; sigmoidal-like function; weighted inputs; Artificial neural networks; Biological system modeling; Circuits; Neural networks; Neurons; Operational amplifiers; Pattern recognition; Transconductance; Very large scale integration; Voltage control;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.31326
Filename
31326
Link To Document