| Literature DB >> 31550405 |
Jianshi Tang1,2, Fang Yuan1, Xinke Shen3, Zhongrui Wang4, Mingyi Rao4, Yuanyuan He3, Yuhao Sun3, Xinyi Li2, Wenbin Zhang1, Yijun Li1, Bin Gao1,2, He Qian1,2, Guoqiang Bi5, Sen Song3, J Joshua Yang4, Huaqiang Wu1,2.
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.Keywords: artificial neural systems; biological neural systems; brain-inspired computing; memristors; neural networks; neuromorphic devices
Mesh:
Year: 2019 PMID: 31550405 DOI: 10.1002/adma.201902761
Source DB: PubMed Journal: Adv Mater ISSN: 0935-9648 Impact factor: 30.849