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Neuromorphic Implementation of Logic Functions Based on Parallel Dual-Gate Thin-Film Transistors.

Authors :
Hu, Yushen
Wang, Yuqi
Lei, Tengteng
Wang, Fei
Wong, Man
Source :
IEEE Electron Device Letters; May2022, Vol. 43 Issue 5, p741-744, 4p
Publication Year :
2022

Abstract

Composed of computation units each containing a parallel, dual-gate (DG) thin-film transistor (TFT) and a memory capacitor addressed by an access TFT, a neuromorphic circuit implementing fundamental AND and OR logic functions is realized and characterized. The exceptionally low leakage current of a TFT built on indium-gallium-zinc oxide (IGZO) allows the capacitor to be used as a quasi-static memory element. Appropriate weight signals for the realization of the two logic functions are obtained using a gradient-descent training algorithm. The circuit can be configured to execute one of the two functions by the setting of the weight signals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07413106
Volume :
43
Issue :
5
Database :
Complementary Index
Journal :
IEEE Electron Device Letters
Publication Type :
Academic Journal
Accession number :
156630266
Full Text :
https://doi.org/10.1109/LED.2022.3164684