JOURNAL ARTICLE

Coplanar Multigate MoS2 Electric-Double-Layer Transistors for Neuromorphic Visual Recognition

Dingdong XieJie JiangWennan HuYongli HeJunliang YangJun HeYongli GaoQing Wan

Year: 2018 Journal:   ACS Applied Materials & Interfaces Vol: 10 (31)Pages: 25943-25948   Publisher: American Chemical Society

Abstract

Spatial coordinate and visual orientation recognition in cortical cells play important roles in the visual system. Herein, spatiotemporally processed visual neurons are mimicked by a facile coplanar multigate two-dimensional (2D) MoS2 electric-double-layer transistor with proton-conducting poly(vinyl alcohol) electrolytes as laterally coupled gate dielectrics. Fundamental neuromorphic behaviors, e.g., excitatory postsynaptic current and paired-pulse facilitation, were successfully mimicked. For the first time, a proof-of-principle artificial visual neural network system for mimicking spatiotemporal coordinate and orientation recognition was experimentally demonstrated in such devices. The experimental results provide a promising opportunity for adding intelligent spatiotemporally-processed functions in emerging brain-like neuromorphic nanoelectronics.

Keywords:
Neuromorphic engineering Materials science Transistor Optoelectronics Computer science Nanotechnology Artificial neural network Artificial intelligence Voltage Electrical engineering Engineering

Metrics

120
Cited By
8.10
FWCI (Field Weighted Citation Impact)
30
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Photoreceptor and optogenetics research
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Neural dynamics and brain function
Life Sciences →  Neuroscience →  Cognitive Neuroscience
© 2026 ScienceGate Book Chapters — All rights reserved.