Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging

Bio-inspired photosynapse hardware with wide spectrum information fusion imaging and neuromorphic processing is promising for complex environments perception. However, integrating ultra-wide spectrum responsivity within a single photosynapse device and scaling to a large array has remained challenging. Here, we demonstrate a 64k-scale (65,536 pixels) ultraviolet-to-mid-infrared photosynapse array based on carbon nanotube/molybdenum oxide heterojunctions. Typical photosynapse behaviors are confirmed in the wide spectrum region of 365 nm (ultraviolet), 532 nm (visible), 1064 nm (near infrared), and 10.6 μm (mid-infrared). A polydopamine-mediated surface treatment enables homogeneous deposition of carbon nanotube/molybdenum oxide films across heterogeneous transistor substrates with 99.96% yield. The photosynapse array enhances image frame similarity from 0.897 to 0.965 in dynamic trajectory prediction. Furthermore, the wide spectrum neuromorphic fusion imaging using photosynapse array achieves 99.58% accuracy in trajectory recognition under challenging conditions, surpassing the 63.93% with visible light alone. This work contributes to paving the way for next-generation autonomous perception.

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Publication Details

Journal
Nature Communications
Published
2026-01-06
DOI
https://doi.org/10.1038/s41467-025-66810-9
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging

Danman Wu, Ken Qin, Xinxing Xie, Jia-He Zhang et al.
Nature Communications
Advanced Memory and Neural Computing
article

Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging

Danman Wu, Ken Qin, Xinxing Xie, Jia-He Zhang, Danxia Xie, He-Xuan Wang, He Tian, Tian-Ling Ren, Jia-Li Peng, Yi Yang, Zi Wang, Hua-Jing Fang, Guan-Hua Dun
article en

Abstract

Bio-inspired photosynapse hardware with wide spectrum information fusion imaging and neuromorphic processing is promising for complex environments perception. However, integrating ultra-wide spectrum responsivity within a single photosynapse device and scaling to a large array has remained challenging. Here, we demonstrate a 64k-scale (65,536 pixels) ultraviolet-to-mid-infrared photosynapse array based on carbon nanotube/molybdenum oxide heterojunctions. Typical photosynapse behaviors are confirmed in the wide spectrum region of 365 nm (ultraviolet), 532 nm (visible), 1064 nm (near infrared), and 10.6 μm (mid-infrared). A polydopamine-mediated surface treatment enables homogeneous deposition of carbon nanotube/molybdenum oxide films across heterogeneous transistor substrates with 99.96% yield. The photosynapse array enhances image frame similarity from 0.897 to 0.965 in dynamic trajectory prediction. Furthermore, the wide spectrum neuromorphic fusion imaging using photosynapse array achieves 99.58% accuracy in trajectory recognition under challenging conditions, surpassing the 63.93% with visible light alone. This work contributes to paving the way for next-generation autonomous perception.

Nature CommunicationsVol. 16(1)
Xi'an Jiaotong University (CN), Tsinghua University (CN)
Tencent, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Tsinghua University
Openalex Percentile: Top 97%
Advanced Memory and Neural Computing
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