ArticleNature nanotechnology2025
Event-driven retinomorphic photodiode with bio-plausible temporal dynamics.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A Chemically Programmable Retinomorphic GaN p-n Diode for Multimode Visual Sensing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Differential Image Sensor With Decoupled Static and Dynamic Outputs.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Bioinspired Photodetectors: From Nature to Advanced Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision.Nature communications · 2026Article
- Autonomous Motion Vision with Tri-bulk-heterojunctioned Organic Adaptation Transistor.Nature communications · 2026Article
- Retinomorphic Visual Processing Enabled by Contact-Engineered IGZO Optoelectronic Synaptic Memtransistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Amphibian-inspired neuromorphic dynamic vision systems based on ferroelectric field-effect transistor.Nature communications · 2026Article
- In-sensor analog optoelectronic processing of concurrent event and memory signals for dynamic vision sensing.Nature communications · 2025Article
- High-performance organic semiconductor near-infrared and shortwave-infrared photodetectors: a materials and device roadmap.Chemical science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Machine vision is indispensable in Industry 4.0 and autonomous driving, enabling the perception and reaction necessary to navigate dynamic environments. Current machine vision sensors, including frame-based and event-based types, often fall short due to their limited temporal dynamics compared with the human retina, hindering their overall performance and adaptability. In this work, we present an event-driven retinomorphic photodiode (RPD) that mimics the retina's layered structure and signal pathway. The RPD achieves this by vertically integrating an organic donor-acceptor heterojunction, an ion reservoir with a porous web-like morphology, and a Schottky junction into a single diode through controlled layer-by-layer fabrication and precise nanostructure modulation. Each component replicates a key retinal process, and their spontaneous interaction results in environment-adaptive dynamics. This design yields a dynamic range exceeding 200 dB, substantially reduces noise and data redundancy, and allows for high-density integration. We demonstrate that these improvements enable high-quality machine vision, even under extreme lighting conditions. Our work demonstrates a bottom-up approach to retinomorphic sensors, propelling the development of robust and responsive machine vision systems adaptable to complex and dynamic lighting environments.
Identifiers
40702347What OpenQuestion holds
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.