Two-dimensional materials for synaptic electronics and neuromorphic systems

被引:84
|
作者
Wang, Shuiyuan [1 ]
Zhang, David Wei [1 ]
Zhou, Peng [1 ]
机构
[1] Fudan Univ, Sch Microelect, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial synaptic electronics; Neuromorphic computation; 2D materials; Synaptic plasticity; Hebbian learning; CHEMICAL-VAPOR-DEPOSITION; MULTILAYER MOS2 TRANSISTORS; LONG-TERM POTENTIATION; GRAPHENE; MEMORY; PLASTICITY; MEMRISTOR; TRANSPORT; SYNAPSES; DEVICE;
D O I
10.1016/j.scib.2019.01.016
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Synapses in biology provide a variety of functions for the neural system. Artificial synaptic electronics that mimic the biological neuron functions are basic building blocks and developing novel artificial synapses is essential for neuromorphic computation. Inspired by the unique features of biological synapses that the basic connection components of the nervous system and the parallelism, low power consumption, fault tolerance, self-learning and robustness of biological neural systems, artificial synaptic electronics and neuromorphic systems have the potential to overcome the traditional von Neumann bottleneck and create a new paradigm for dealing with complex problems such as pattern recognition, image classification, decision making and associative learning. Nowadays, two-dimensional (2D) materials have drawn great attention in simulating synaptic dynamic plasticity and neuromorphic computing with their unique properties. Here we describe the basic concepts of bio-synaptic plasticity and learning, the 2D materials library and its preparation. We review recent advances in synaptic electronics and artificial neuromorphic systems based on 2D materials and provide our perspective in utilizing 2D materials to implement synaptic electronics and neuromorphic systems in hardware. (C) 2019 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
引用
收藏
页码:1056 / 1066
页数:11
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