ArticleNature communications2026
NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor.
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 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- NEOSTI - a neuromorphic electronic-opto spatial-temporal hybrid image sensor.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Image sensors in machine vision systems face significant challenges related to energy efficiency and processing capability when storing, transferring, and processing massive amounts of data. In humans, over 80% of brain-processed information is obtained through the eyes, which are capable of detecting and synchronously processing information with extremely low overall power consumption. Inspired by the biomimetics, we propose a Neuromorphic Electronic-Opto Spatial Temporal Imager (NEOSTI), one of the smallest electronic-opto fully integrated, eye-sized vision systems enabling acquisition and operation in typical indoor/outdoor non-coherent environments, under both natural and artificial lighting conditions without any extra requirement of the light source. NEOSTI combines processing-pre-sensor in optical domain, processing-in-sensor with nonlinear acquisition capability while optical to electronic converting, and processing-near-sensor in electronic domain, enabling parallel data computing capabilities while sensing. NEOSTI also integrates a low complexity Binary Neural Network to process image semantic information. It attains competitive performance in several visual processing tasks.
Identifiers
What 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.