IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-65872-z.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Huazhong University of Science and Technology, Wuhan National High Magnetic Field Center and School of Integrated Circuits)

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.

Suggested Citation

  • Xiong Xiong & Tianyue Fu & Chengru Gu & Qijun Li & Honggang Liu & Xin Wang & Jiyang Kang & Shiyuan Liu & Yufan Wang & Dong Li & Xiao Wang & Anlian Pan & Yanqing Wu, 2025. "Bio-inspired cross-modal super-additive plasticity for seamless visual processing-in-sensory and -in-memory," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65872-z
    DOI: 10.1038/s41467-025-65872-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-65872-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-65872-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65872-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.