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Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging
Guan-Hua Dun1,2, Jia-He Zhang3,4, Xin-Xing Xie5
1School of Integrated Circuits, Tsinghua University, Beijing, China. dunguanhua@tsinghua.edu.cn.
Nature Communications
|January 6, 2026
Summary
Researchers developed a large-scale ultraviolet-to-mid-infrared photosynapse array using carbon nanotubes. This bio-inspired hardware enables advanced perception in complex environments by fusing wide spectrum imaging and neuromorphic processing.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Bio-inspired photosynapse hardware offers potential for complex environment perception through wide spectrum imaging and neuromorphic processing.
- Integrating ultra-wide spectrum responsivity and large-scale arrays in photosynapse devices presents significant challenges.
Purpose of the Study:
- To demonstrate a scalable ultraviolet-to-mid-infrared photosynapse array for enhanced perception.
- To overcome limitations in integrating wide spectrum responsivity and large-scale fabrication.
Main Methods:
- Fabrication of a 64k-scale photosynapse array using carbon nanotube/molybdenum oxide heterojunctions.
- Utilized polydopamine-mediated surface treatment for homogeneous film deposition on transistor substrates.
- Confirmed photosynapse behavior across ultraviolet, visible, near-infrared, and mid-infrared spectrums.
Main Results:
- Achieved a 99.96% yield in fabricating the large-scale photosynapse array.
- Demonstrated enhanced image frame similarity from 0.897 to 0.965 in dynamic trajectory prediction.
- Attained 99.58% accuracy in trajectory recognition using wide spectrum neuromorphic fusion imaging, significantly outperforming visible light alone (63.93%).
Conclusions:
- The developed photosynapse array successfully integrates ultra-wide spectrum responsivity and large-scale fabrication.
- This technology significantly enhances perception capabilities under challenging conditions, paving the way for next-generation autonomous systems.
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