ReviewJournal of eye movement research2026
How Does Peripheral Vision Feel Rich? A Selective Review.
Review in Journal of eye movement research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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0 citing papers in PubMed.
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Authors and funding
3 authors.
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Abstract
Human vision is profoundly non-uniform. Spatial resolution, contrast sensitivity, colour discrimination decrease, and the appearance of visual features become increasingly distorted with retinal eccentricity, yet visual experience appears remarkably rich and stable across the entire visual field. This apparent paradox has been a central challenge in vision science: how can a perceptually rich world emerge from a sensory system that samples only a small fraction of the environment with high precision? We argue that cognitive biases alone may be insufficient to explain the apparent richness of peripheral vision and review evidence suggesting that perceptual processes may also contribute. Information sampled in central vision can be extrapolated to peripheral appearance, while prior knowledge and learned regularities allow the visual system to infer missing or distorted peripheral information. These processes operate within the constraints of active vision, where eye movements selectively sample task-relevant information rather than building a complete detailed representation of the scene. We propose that the interaction between centre-to-periphery extrapolation and learned predictions may contribute to rich peripheral experience, specially where we direct attention, allowing the visual system to maintain a coherent and useful representation of the world.
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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.