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.
Authors
- Xiong Xiong (ORCID: https://orcid.org/0000-0003-2774-9006)
- Yanqing Wu (ORCID: https://orcid.org/0000-0003-2578-5214)
- Qijun Li (ORCID: https://orcid.org/0009-0007-0760-3962)
- Tianyue Fu
- Chengru Gu (ORCID: https://orcid.org/0000-0002-0486-5322)
- Anlian Pan (ORCID: https://orcid.org/0000-0003-3335-3067)
- Shiyuan Liu (ORCID: https://orcid.org/0000-0002-0055-5052)
- Xin Wang (ORCID: https://orcid.org/0000-0003-1524-2902)
- Dong Li (ORCID: https://orcid.org/0000-0003-0391-7060)
- Xiao Wang (ORCID: https://orcid.org/0000-0002-2973-8215)
- Yufan Wang (ORCID: https://orcid.org/0000-0002-4025-6460)
- Honggang Liu (ORCID: https://orcid.org/0000-0003-2342-5004)
- Jiyang Kang
Institutions
- 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)
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
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China