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作 者:Shuai Zhong Lirou Su Mingkun Xu Desmond Loke Bin Yu Yishu Zhang Rong Zhao
机构地区:[1]Guangdong Institute of Intelligence Science and Technology,Hengqin,Zhuhai 519031,People’s Republic of China [2]College of Integrated Circuits,Zhejiang University,Hangzhou 3112000,People’s Republic of China [3]ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou 310027,People’s Republic of China [4]Department of Science,Mathematics and Technology,Singapore University of Technology and Design,Singapore 487372,Singapore [5]Department of Precision Instruments,Tsinghua University,Beijing 100084,People’s Republic of China [6]Center for Brain‑Inspired Computing Research,Tsinghua University,Beijing 100084,People’s Republic of China [7]IDG/McGovern Institute for Brain Research,Tsinghua University,Beijing 100084,People’s Republic of China
出 处:《Nano-Micro Letters》2025年第3期168-216,共49页纳微快报(英文版)
基 金:supported by the Key-Area Research and Development Program of Guangdong Province(Grants No.2021B0909060002);National Natural Science Foundation of China(Grants No.62204219,62204140);Major Program of Natural Science Foundation of Zhejiang Province(Grants No.LDT23F0401).
摘 要:Spike-based neural networks,which use spikes or action potentialsto represent information,have gained a lot of attention because of their high energyefficiency and low power consumption.To fully leverage its advantages,convertingthe external analog signals to spikes is an essential prerequisite.Conventionalapproaches including analog-to-digital converters or ring oscillators,and sensorssuffer from high power and area costs.Recent efforts are devoted to constructingartificial sensory neurons based on emerging devices inspired by the biologicalsensory system.They can simultaneously perform sensing and spike conversion,overcoming the deficiencies of traditional sensory systems.This review summarizesand benchmarks the recent progress of artificial sensory neurons.It starts with thepresentation of various mechanisms of biological signal transduction,followed bythe systematic introduction of the emerging devices employed for artificial sensoryneurons.Furthermore,the implementations with different perceptual capabilitiesare briefly outlined and the key metrics and potential applications are also provided.Finally,we highlight the challenges and perspectives for the future development of artificial sensory neurons.
关 键 词:Artificial intelligence Emerging devices Artificial sensory neurons Spiking neural networks Neuromorphic sensing
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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