ArticleNature communications2026
Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- In-sensor multispectral perception for near- and mid-infrared discrimination.Nature communications · 2026Article
- A Chemically Programmable Retinomorphic GaN p-n Diode for Multimode Visual Sensing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.