Paper Info
Title
Analog circuit for synapse neural networks VLSI implementation
Abstract
In this paper, I present an analog VLSI circuit to implement the synapse operation in the artificial neural network systems. This circuit is a two-quadrant (or four-quadrant) analog multiplier. The output of the synapse circuit is in current and it is proportional to the multiplication of two input voltages: the weight voltage and the pattern information input voltage (or the output voltage of the neuron). The main feature of the multiplier is the high value of the weight voltage range, which it varies between the ground voltage and the supply voltage [0:Vdd].
Year
DOI
Venue
2000
10.1109/ICECS.2000.913045
ICECS 2000: 7TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS & SYSTEMS, VOLS I AND II
Keywords
DocType
Citations 
artificial neural network,vlsi,very large scale integration,analog circuits,neural network,threshold voltage,capacitors,neural networks,resistors
Conference
2
PageRank 
References 
Authors
0.43
0
1
Name
Order
Citations
PageRank
h chible164.59