神经形态工程学
材料科学
纳米材料
纳米技术
冯·诺依曼建筑
人工智能
特征(语言学)
领域(数学)
人工神经网络
计算
突触
计算机科学
神经科学
生物
算法
操作系统
哲学
语言学
数学
纯数学
作者
Yihang Chen,Haiyang Yu,Jiangdong Gong,Mingxue Ma,Hong Han,Huanhuan Wei,Wentao Xu
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2018-10-25
卷期号:30 (1): 012001-012001
被引量:55
标识
DOI:10.1088/1361-6528/aae470
摘要
Artificial synapses emulate biological synaptic signals in neuromorphic systems to attain brain-like computation and autonomous learning behaviors in non-von-Neumann systems. Several classes of materials have been applied to this field to achieve numerous functionalities of biological synapses. Nanomaterials (NMs), such as one-dimensional (1D) and two-dimensional (2D) NMs have shown great potential due to their nanometer feature size (1D) and molecular-level thickness (2D). In this paper, we review the development of artificial synapses, and discuss state-of-the-art artificial synapses based on NMs.
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