神经形态工程学
桥接(联网)
计算机科学
人工神经网络
人工智能
数码产品
繁荣
神经系统
纳米技术
数据科学
神经科学
材料科学
工程类
电气工程
生物
计算机网络
环境工程
作者
Jianshi Tang,Fang Yuan,Xinke Shen,Zhongrui Wang,Mingyi Rao,Yanlin He,Yuhao Sun,Xinyi Li,Wenbing Zhang,Yijun Li,Bin Gao,He Qian,Guoqiang Bi,Sen Song,J. Joshua Yang,Huaqiang Wu
标识
DOI:10.1002/adma.201902761
摘要
Abstract As the research on artificial intelligence booms, there is broad interest in brain‐inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re‐visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the existing challenges are highlighted to hopefully shed light on future research directions.
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