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作 者:Wei Wen Yunlong Guo Yunqi Liu
机构地区:[1]Institute of Chemistry,Chinese Academy of Sciences,Beijing 100190,China [2]University of Chinese Academy of Sciences,Beijing 100049,China
出 处:《Journal of Semiconductors》2022年第5期45-57,共13页半导体学报(英文版)
基 金:the financial support from the National Key R&D Program of China(Grant No.2018YFA0703200);the National Natural Science Foundation of China(Grant Nos.91833304,91833306,21922511,61890940,21633012,and 51873216);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB30000000);the CAS Key Research Program of Frontier Sciences(Grant No.QYZDYSSW-SLH029);the CASC roucher Funding Scheme for Joint Laboratories。
摘 要:The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.
关 键 词:neurosynaptic devices MEMRISTORS TRANSISTORS human perception system
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] TN60[自动化与计算机技术—控制科学与工程]
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