Memristive Artificial Synapses for Neuromorphic Computing

Nano-Micro Letters

Chen Zhu¹  Parker Steichen²  Xuwen Xia³  Wen Huang³  Weidong Quan³  Weiwei Mao³  Liang Chu³  Jianping Yang³  Xing’ao Li⁴ 

[1] College of Electronic and Optical Engineering and College of Microelectronics, Nanjing University of Posts and Telecommunications (NJUPT), 210023, Nanjing, People’s Republic of China;Department of Materials Science and Engineering, University of Washington, 98195-2120, Seattle, WA, USA;New Energy Technology Engineering Laboratory of Jiangsu Province and School of Science, Nanjing University of Posts and Telecommunications (NJUPT), 210023, Nanjing, People’s Republic of China;New Energy Technology Engineering Laboratory of Jiangsu Province and School of Science, Nanjing University of Posts and Telecommunications (NJUPT), 210023, Nanjing, People’s Republic of China;Key Laboratory for Organic Electronics and Information Displays and Institute of Advanced Materials, Jiangsu National Synergistic Innovation Center for Advanced Materials, School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications (NUPT), 9 Wenyuan Road, 210023, Nanjing, People’s Republic of China;

关键词: Synaptic devices;    Neuromorphic computing;    Electrical pulses;    Optical pulses;    Photoelectric synergetic effects;   

DOI  :  10.1007/s40820-021-00618-2

来源: Springer

【 摘 要 】

tsSynaptic devices that mimic synaptic functions are discussed by categorizing them into electrically stimulated, optically stimulated, and photoelectric synergetic synaptic devices based on stimulation of electrical and optical signals.The working mechanisms, progress, and application scenarios of synaptic devices based on electrical and optical signals are compared and analyzed.The performances and future development of various synaptic devices that could be significant for building efficient neuromorphic systems are prospected.

【 授权许可】

CC BY