首页|Recent Advances in Artificial Sensory Neurons:Biological Fundamentals,Devices,Applications,and Challenges

Recent Advances in Artificial Sensory Neurons:Biological Fundamentals,Devices,Applications,and Challenges

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Recent Advances in Artificial Sensory Neurons:Biological Fundamentals,Devices,Applications,and Challenges
Spike-based neural networks,which use spikes or action potentials to represent information,have gained a lot of attention because of their high energy efficiency and low power consumption.To fully leverage its advantages,convert-ing the external analog signals to spikes is an essential prerequisite.Conventional approaches including analog-to-digital converters or ring oscillators,and sensors suffer from high power and area costs.Recent efforts are devoted to constructing artificial sensory neurons based on emerging devices inspired by the biological sensory system.They can simultaneously perform sensing and spike conversion,overcoming the deficiencies of traditional sensory systems.This review summarizes and benchmarks the recent progress of artificial sensory neurons.It starts with the presentation of various mechanisms of biological signal transduction,followed by the systematic introduction of the emerging devices employed for artificial sensory neurons.Furthermore,the implementations with different perceptual capabilities are 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.

Artificial intelligenceEmerging devicesArtificial sensory neuronsSpiking neural networksNeuromorphic sensing

Shuai Zhong、Lirou Su、Mingkun Xu、Desmond Loke、Bin Yu、Yishu Zhang、Rong Zhao

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Guangdong Institute of Intelligence Science and Technology,Hengqin,Zhuhai 519031,People's Republic of China

Department of Science,Mathematics and Technology,Singapore University of Technology and Design,Singapore 487372,Singapore

College of Integrated Circuits,Zhejiang University,Hangzhou 3112000,People's Republic of China

ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou 310027,People's Republic of China

Department of Precision Instruments,Tsinghua University,Beijing 100084,People's Republic of China

Center for Brain-Inspired Computing Research,Tsinghua University,Beijing 100084,People's Republic of China

IDG/McGovern Institute for Brain Research,Tsinghua University,Beijing 100084,People's Republic of China

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Artificial intelligence Emerging devices Artificial sensory neurons Spiking neural networks Neuromorphic sensing

2025

10.1007/s40820-024-01550-x

纳微快报(英文)
上海交通大学

纳微快报(英文)

ISSN：2311-6706
年,卷(期)：2025.17(3)