DocumentCode
3742722
Title
Design of cellular neural network architecture using memristors
Author
Hyongsuk Kim;Changju Yang
Author_Institution
Dept. of Electronic Engineering, College of Engineering, Chonbuk National University, Jeonju-si, Jeonbuk, Republic of Korea
fYear
2015
Firstpage
207
Lastpage
208
Abstract
A method to design a Cellular Neural Network architecture using memristors is proposed. Memsitor is a new resistive device whose resistivity varies depending upon applied voltage/current. In this paper, we show that a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative and positive synaptic weightings. Together with three additional transistors, the memristor bridge weighting circuit is able to perform synaptic operation for neural cells. Also, we show that Cellular Neural Networks can be implemented with the programming of different set of weights on the memristor bridge synapses.
Publisher
ieee
Conference_Titel
SoC Design Conference (ISOCC), 2015 International
Type
conf
DOI
10.1109/ISOCC.2015.7401791
Filename
7401791
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