ArticleNature neuroscience2014
Flies and humans share a motion estimation strategy that exploits natural scene statistics.
Article in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 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.
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Who cites it
67 citing papers in PubMed, 105 citations in OpenAlex.
- Revisiting the functional significance of binocular cues for perceiving motion-in-depth.Nature communications · 2018Trial
- Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamic trajectory cues drive sequenced integration in approach detectors.bioRxiv : the preprint server for biology · 2026Article
- Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling.Biomimetics (Basel, Switzerland) · 2026Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.Nature human behaviour · 2026Article
- Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026Article
- Optogenetic stimulation of pyramidal neurons in the rat primary visual cortex modulates ON- and OFF- receptive field areas independently.Scientific reports · 2025Article
- Article
- Broadband visual stimuli improve neuronal representation and sensory perception.Nature communications · 2025Article
- Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Bio-Inspired Visual Neural Model for Robustly and Steadily Detecting Motion Directions of Translating Objects Against Variable Contrast in the Figure-Ground and Noise Interference.Biomimetics (Basel, Switzerland) · 2025Article
- Adaptation to visual sparsity enhances responses to isolated stimuli.Current biology : CB · 2024Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.bioRxiv : the preprint server for biology · 2024Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024Article
- Multilevel visual motion opponency in Drosophila.Nature neuroscience · 2023Article
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- Long-timescale anti-directional rotation ineLife · 2023Article
- Spatiotemporal visual statistics of aquatic environments in the natural habitats of zebrafish.Scientific reports · 2023Article
- Functional organization of visual responses in the octopus optic lobe.Current biology : CB · 2023Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Sighted animals extract motion information from visual scenes by processing spatiotemporal patterns of light falling on the retina. The dominant models for motion estimation exploit intensity correlations only between pairs of points in space and time. Moving natural scenes, however, contain more complex correlations. We found that fly and human visual systems encode the combined direction and contrast polarity of moving edges using triple correlations that enhance motion estimation in natural environments. Both species extracted triple correlations with neural substrates tuned for light or dark edges, and sensitivity to specific triple correlations was retained even as light and dark edge motion signals were combined. Thus, both species separately process light and dark image contrasts to capture motion signatures that can improve estimation accuracy. This convergence argues that statistical structures in natural scenes have greatly affected visual processing, driving a common computational strategy over 500 million years of evolution.
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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.