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作 者:Yiru Wang Shanshuo Liu Hongxin Zhang Yuchen Cao Zitong Mu Mingdong Yi Linghai Xie Haifeng Ling
出 处:《Journal of Semiconductors》2025年第2期53-70,共18页半导体学报(英文版)
基 金:the National Key Research and Development Program of China(2021YFA0717900);National Natural Science Foundation of China(62471251,62405144,62288102,22275098,and 62174089);Basic Research Program of Jiangsu(BK20240033,BK20243057);Jiangsu Funding Program for Excellent Postdoctoral Talent(2022ZB402).
摘 要:Recently,for developing neuromorphic visual systems,adaptive optoelectronic devices become one of the main research directions and attract extensive focus to achieve optoelectronic transistors with high performances and flexible func-tionalities.In this review,based on a description of the biological adaptive functions that are favorable for dynamically perceiv-ing,filtering,and processing information in the varying environment,we summarize the representative strategies for achiev-ing these adaptabilities in optoelectronic transistors,including the adaptation for detecting information,adaptive synaptic weight change,and history-dependent plasticity.Moreover,the key points of the corresponding strategies are comprehen-sively discussed.And the applications of these adaptive optoelectronic transistors,including the adaptive color detection,sig-nal filtering,extending the response range of light intensity,and improve learning efficiency,are also illustrated separately.Lastly,the challenges faced in developing adaptive optoelectronic transistor for artificial vision system are discussed.The descrip-tion of biological adaptive functions and the corresponding inspired neuromorphic devices are expected to provide insights for the design and application of next-generation artificial visual systems.
关 键 词:adaptive optoelectronic transistor neuromorphic computing artificial vision
分 类 号:TN32[电子电信—物理电子学]
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