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

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 10<sup>3</sup> 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 10<sup>5</sup> and high lookup durability of 10<sup>12</sup>. 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.

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Publication Details

Journal
Nature Communications
Published
2025-12-04
DOI
https://doi.org/10.1038/s41467-025-65872-z
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Xiong Xiong, Yanqing Wu, Qijun Li, Tianyue Fu et al.
Nature Communications
Advanced Memory and Neural Computing
article

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

Xiong Xiong, Yanqing Wu, Qijun Li, Tianyue Fu, Chengru Gu, Anlian Pan, Shiyuan Liu, Xin Wang, Dong Li, Xiao Wang, Yufan Wang, Honggang Liu, Jiyang Kang
article en

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 10<sup>3</sup> 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 10<sup>5</sup> and high lookup durability of 10<sup>12</sup>. 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.

Nature CommunicationsVol. 16(1)
Hunan University (CN), Wuhan University of Technology (CN), Peking University (CN), Fraunhofer Institute for Integrated Circuits (DE), Wuhan National Laboratory for Optoelectronics (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 61%
Advanced Memory and Neural Computing
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