To read this content please select one of the options below:

Synaptic plasticity of TiO2 nanowire transistor

Hongxia Qi (School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China)
Ying Wu (School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China)

Microelectronics International

ISSN: 1356-5362

Article publication date: 3 February 2020

Issue publication date: 11 June 2020

250

Abstract

Purpose

The emulation of synapses is essential to neuromorphic computing systems. Despite remarkable progress has been made in the two-terminal device (memristor), three-terminal transistors evoke greater attention because of the controlled conductance between the source and drain. The purpose of this paper is to investigate the synaptic plasticity of the TiO2 nanowire transistor.

Design/methodology/approach

TiO2 nanowire transistor was assembled by dielectrophoresis, and the synaptic plasticity such as paired-pulse facilitation, learning behaviors and high-pass filter were studied.

Findings

Facilitation index decreases with the increasing pulse interval. A bigger response current is obtained at the pulses with higher amplitude and smaller intervals, which is similar to the consolidated memory at the deeply and frequently learning. The increased current at the higher stimulus frequency demonstrates a promising application in the high-pass filter.

Originality/value

TiO2 nanowire transistors possess broad application prospects in the future neural network.

Keywords

Acknowledgements

This work is supported by Natural Science Foundation of Jiangsu Province of China (Grant No. BK20171166).

Citation

Qi, H. and Wu, Y. (2020), "Synaptic plasticity of TiO2 nanowire transistor", Microelectronics International, Vol. 37 No. 3, pp. 125-130. https://doi.org/10.1108/MI-08-2019-0053

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles