Air‐Stable Hydrogen‐Substituted Graphdiyne/2D Halide Perovskite Heterojunction for Self‐Powered Neuromorphic Vision
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202504542
Abstract: Neuromorphic visual systems that mimic human vision can efficiently capture and process visual information with an in‐sensor computing paradigm. However, photoelectronic devices with high light sensitivity, stability and tunable charge‐carrier interactions are still required for… read more here.
Keywords: information; hydrogen substituted; heterojunction; substituted graphdiyne ... See more keywords
Bidirectional Self‐Powered Photoresponse in GeSxSe1‐x/WSe2 van der Waals Heterostructures for Advanced Neuromorphic Vision Systems
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202517969
Abstract: Bidirectional optoelectronic devices, capable of emulating the neurobiological functions of retinal neurons, hold great promise for artificial neuromorphic vision systems. However, a systematic approach to achieving a wide range of modulation of bidirectional photoresponse properties… read more here.
Keywords: vision systems; wse2; gesxse1 wse2; neuromorphic vision ... See more keywords
Artificial Optoelectronic Synapse Based on Purely Inorganic Polyoxometalates Crystalline Materials Enabling Reservoir Computing and Neuromorphic Vision.
Sign Up to like & getrecommendations! Published in 2025 at "Small"
DOI: 10.1002/smll.202502601
Abstract: Polyoxometalates (POMs), a class of inorganic materials with diverse redox states, dynamic responsiveness, and multimodal stimuli sensitivity, exhibit tremendous potential in artificial synapse simulation, reservoir computing, and neuromorphic vision simulation. In this work, a series… read more here.
Keywords: synapse; neuromorphic vision; vision; reservoir computing ... See more keywords
Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception.
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DOI: 10.1002/smll.202508167
Abstract: Abstract Integrating multicolor perception with neuromorphic vision systems, capable of emulating the procedures of image detection, storage, and local processing, represents a significant advancement in artificial visual technologies. However, challenges related to data fusion, system… read more here.
Keywords: reservoir computing; perception; neuromorphic vision; low power ... See more keywords
Neuromorphic vision: From sensors to event‐based algorithms
Sign Up to like & getrecommendations! Published in 2019 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1310
Abstract: Regardless of the marvels brought by the conventional frame‐based cameras, they have significant drawbacks due to their redundancy in data and temporal latency. This causes problem in applications where low‐latency transmission and high‐speed processing are… read more here.
Keywords: neuromorphic vision; event based; based vision; vision sensors ... See more keywords
Neuromorphic vision chips
Sign Up to like & getrecommendations! Published in 2017 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9303-0
Abstract: The paper reviews the progress of neuromorphic vision chip research in decades. It focuses on two kinds of the neuromorphic vision chips: frame-driven (FD) and event-driven (ED) vision chips. The FD and ED vision chips… read more here.
Keywords: neuromorphic vision; image; vision; vision chips ... See more keywords
High-order dynamics in an ultra-adaptive neuromorphic vision device
Sign Up to like & getrecommendations! Published in 2025 at "Nature Nanotechnology"
DOI: 10.1038/s41565-025-01984-3
Abstract: Neuromorphic hardware for artificial general vision intelligence holds the potential to match and surpass biological visual systems by processing complex visual dynamics with high adaptability and efficiency. However, current implementations rely on multiple complementary metal–oxide–semiconductor… read more here.
Keywords: device; neuromorphic vision; vision; vision device ... See more keywords
2D transition metal dichalcogenides for neuromorphic vision system
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/42/9/090203
Abstract: It has been a long-sought dream for human beings to realize a powerful and reliable artificial vision system that can liberate human beings from tedious brain work. In the past few years, computer vision based… read more here.
Keywords: neuromorphic vision; image; system; transition metal ... See more keywords
Lossless Compression of Neuromorphic Vision Sensor Data Based on Point Cloud Representation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222330
Abstract: Visual information varying over time is typically captured by cameras that acquire data via images (frames) equally spaced in time. Using a different approach, Neuromorphic Vision Sensors (NVSs) are emerging visual capturing devices that only… read more here.
Keywords: compression; lossless compression; neuromorphic vision; point cloud ... See more keywords
Spatiotemporal Aggregation Transformer for Object Detection With Neuromorphic Vision Sensors
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3392973
Abstract: To enhance the accuracy of object detection with event-based neuromorphic vision sensors, a novel event-based detector named spatiotemporal aggregation transformer (STAT) is proposed. First, in order to collect sufficient event information to estimate the problem… read more here.
Keywords: object detection; neuromorphic vision; vision; event ... See more keywords
EBF: An Event-Based Bilateral Filter for Effective Neuromorphic Vision Sensor Denoising
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3568604
Abstract: Neuromorphic Vision Sensors (NVS) have raised increasing attention due to their sparsity, low latency, and high dynamic range. However, they suffer from the background activity noise which causes unnecessary computational waste. Existing learning-based denoising methods… read more here.
Keywords: bilateral filter; based bilateral; neuromorphic vision; event ... See more keywords