Bio-inspired cross-modal super-additive plasticity for seamless visual processing-in-sensory and -in-memory

Xiong Xiong (), Tianyue Fu, Chengru Gu, Qijun Li, Honggang Liu, Xin Wang, Jiyang Kang, Shiyuan Liu, Yufan Wang, Dong Li, Xiao Wang, Anlian Pan and Yanqing Wu ()
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Xiong Xiong: Peking University, School of Integrated Circuits and Beijing Advanced Innovation Center for Integrated Circuits
Tianyue Fu: Peking University, School of Integrated Circuits and Beijing Advanced Innovation Center for Integrated Circuits
Chengru Gu: Huazhong University of Science and Technology, Wuhan National High Magnetic Field Center and School of Integrated Circuits
Qijun Li: Huazhong University of Science and Technology, Wuhan National High Magnetic Field Center and School of Integrated Circuits
Honggang Liu: Huazhong University of Science and Technology, Wuhan National High Magnetic Field Center and School of Integrated Circuits
Xin Wang: Peking University, School of Integrated Circuits and Beijing Advanced Innovation Center for Integrated Circuits
Jiyang Kang: Huazhong University of Science and Technology, Wuhan National High Magnetic Field Center and School of Integrated Circuits
Shiyuan Liu: Peking University, School of Integrated Circuits and Beijing Advanced Innovation Center for Integrated Circuits
Yufan Wang: Hunan University, Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, College of Materials Science and Engineering
Dong Li: Hunan University, Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, College of Materials Science and Engineering
Xiao Wang: Hunan University, Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, College of Materials Science and Engineering
Anlian Pan: Hunan University, Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, College of Materials Science and Engineering
Yanqing Wu: Peking University, School of Integrated Circuits and Beijing Advanced Innovation Center for Integrated Circuits

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract Bio-inspired cross-modal visual perception hardware offers potential for edge intelligence. However, physical implementation of such hardware by conventional optoelectronics typically results in linear function combinations, lacking super-additive integration. Here, inspired by the primary cortex of the biological brain, we design a hardware platform based on molybdenum disulfide channel for processing-in-sensory and -in-memory. Cross-modal correlation photoelectric signals processing is demonstrated by utilizing electric field-assisted photogenerated carrier tunneling based on a floating gate photoelectric device array. The devices exhibit high synergistic paradigm super-additive behavior up to 103 times and significant time-dependent plasticity for visual encoding and perception enhancement. After sensory preprocessing, patterns are accurately routed and recognized by a non-volatile four-transistor ternary content-addressable memory circuit array. The cell maintains a large resistance ratio of 105 and high lookup durability of 1012. The hardware platform of cross-modal visual perception empowers seamless visual process-in-sensory and -in-memory, providing potential for ubiquitous visual edge intelligent systems.

Date: 2025
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DOI: 10.1038/s41467-025-65872-z

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