JOURNAL ARTICLE

Low-Consumption Synaptic Devices Based on Gate-All-Around InAs Nanowire Field-Effect Transistors

Chaofei ZhaWei LuoXia ZhangXin YanXiaomin Ren

Year: 2022 Journal:   Nanoscale Research Letters Vol: 17 (1)Pages: 101-101   Publisher: Springer Science+Business Media
Keywords:
Materials science Optoelectronics Neuromorphic engineering Long-term potentiation Nanowire Transistor Synaptic plasticity Synaptic weight Postsynaptic Current Voltage Nanotechnology Electrical engineering Neuroscience Computer science Patch clamp Electrophysiology Chemistry Artificial neural network

Metrics

7
Cited By
0.75
FWCI (Field Weighted Citation Impact)
42
Refs
0.67
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
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Photoreceptor and optogenetics research
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
© 2026 ScienceGate Book Chapters — All rights reserved.