神经形态工程学
计算机科学
感觉系统
实现(概率)
数码产品
计算机体系结构
人工智能
人工神经网络
工程类
神经科学
电气工程
数学
生物
统计
作者
Fuqin Sun,Qifeng Lu,Simin Feng,Ting Zhang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2021-01-28
卷期号:15 (3): 3875-3899
被引量:201
标识
DOI:10.1021/acsnano.0c10049
摘要
Emerging flexible artificial sensory systems using neuromorphic electronics have been considered as a promising solution for processing massive data with low power consumption. The construction of artificial sensory systems with synaptic devices and sensing elements to mimic complicated sensing and processing in biological systems is a prerequisite for the realization. To realize high-efficiency neuromorphic sensory systems, the development of artificial flexible synapses with low power consumption and high-density integration is essential. Furthermore, the realization of efficient coupling between the sensing element and the synaptic device is crucial. This Review presents recent progress in the area of neuromorphic electronics for flexible artificial sensory systems. We focus on both the recent advances of artificial synapses, including device structures, mechanisms, and functions, and the design of intelligent, flexible perception systems based on synaptic devices. Additionally, key challenges and opportunities related to flexible artificial perception systems are examined, and potential solutions and suggestions are provided.
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