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Driving Strategy Based on Artificial Neuron Device for Array Circuits

Authors :
Zhou, Zhengxian
Zhang, Xianghong
Ye, Weixi
Liu, Di
Lin, Yongjie
Lin, Jiaming
Guo, Tailiang
Chen, Huipeng
Source :
IEEE Transactions on Electron Devices; 2023, Vol. 70 Issue: 6 p3378-3381, 4p
Publication Year :
2023

Abstract

Over the past many years, array circuits, as an important part of electronic systems, show a wide range of application scenarios. However, the pursuit of high-density array circuits will certainly lead to a steep increase in the area of the array driving circuit. In this article, we present a switching array circuit with an artificial neuron, where the neuron acts as a discrete control center for the array circuit, which can effectively reduce the area of the array driving circuit by 75%. In this work, we found that the value of load resistance can affect the switching of individual devices and control the branch threshold voltage range, thus affecting the information processing capability of the branch. This new paradigm of optimized array circuit driving strategy can be used to tune the set and reset threshold voltage of neurons, while processing and outputting information by using this type of configuration. This work provides a potential platform for promoting the development of electronic devices and future high-density array circuits.

Details

Language :
English
ISSN :
00189383 and 15579646
Volume :
70
Issue :
6
Database :
Supplemental Index
Journal :
IEEE Transactions on Electron Devices
Publication Type :
Periodical
Accession number :
ejs63202752
Full Text :
https://doi.org/10.1109/TED.2023.3268149