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Multimodal Artificial Synapses for Neuromorphic Application
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作者 Runze Li Zengji Yue +3 位作者 Haitao Luan Yibo Dong Xi Chen Min Gu 《Research》 2025年第1期984-1000,共17页
The rapid development of neuromorphic computing has led to widespread investigation of artificial synapses.These synapses can perform parallel in-memory computing functions while transmitting signals,enabling low-ener... The rapid development of neuromorphic computing has led to widespread investigation of artificial synapses.These synapses can perform parallel in-memory computing functions while transmitting signals,enabling low-energy and fast artificial intelligence.Robots are the most ideal endpoint for the application of artificial intelligence.In the human nervous system,there are different types of synapses for sensory input,allowing for signal preprocessing at the receiving end.Therefore,the development of anthropomorphic intelligent robots requires not only an artificial intelligence system as the brain but also the combination of multimodal artificial synapses for multisensory sensing,including visual,tactile,olfactory,auditory,and taste.This article reviews the working mechanisms of artificial synapses with different stimulation and response modalities,and presents their use in various neuromorphic tasks.We aim to provide researchers in this frontier field with a comprehensive understanding of multimodal artificial synapses. 展开更多
关键词 artificial intelligencein neuromorphic computing human nervous systemthere signal preprocessing artificial synapses artificial intelligencerobots multimodal artificial synapses
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