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Memristive Artificial Synapses for Neuromorphic Computing 被引量:4
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作者 Wen Huang Xuwen Xia +6 位作者 Chen Zhu Parker Steichen weidong quan Weiwei Mao Jianping Yang Liang Chu Xing’ao Li 《Nano-Micro Letters》 SCIE EI CAS CSCD 2021年第5期218-245,共28页
Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.This computing is realized based on memri... Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.This computing is realized based on memristive hardware neural networks in which synaptic devices that mimic biological synapses of the brain are the primary units.Mimicking synaptic functions with these devices is critical in neuromorphic systems.In the last decade,electrical and optical signals have been incorporated into the synaptic devices and promoted the simulation of various synaptic functions.In this review,these devices 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 of the devices are analyzed in detail.This is followed by a discussion of the progress in mimicking synaptic functions.In addition,existing application scenarios of various synaptic devices are outlined.Furthermore,the performances and future development of the synaptic devices that could be significant for building efficient neuromorphic systems are prospected. 展开更多
关键词 Synaptic devices Neuromorphic computing Electrical pulses Optical pulses Photoelectric synergetic effects
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