ArticleBMC biology2024
The functional role of spatial anisotropies in ensemble perception.
Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Spatial anisotropy in crowding and ensemble perception.Journal of vision · 2026Article
- Rapid ensemble encoding of average scene features.Journal of vision · 2026Article
- Time Course of Orientation Ensemble Representation in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Serial dependence: A matter of memory load.Heliyon · 2024Article
- The functional role of spatial anisotropies in ensemble perception.BMC biology · 2024Article
- Decoding time-resolved neural representations of orientation ensemble perception.Frontiers in neuroscience · 2024Article
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4 authors.
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Abstract
backgroundThe human brain can rapidly represent sets of similar stimuli by their ensemble summary statistics, like the average orientation or size. Classic models assume that ensemble statistics are computed by integrating all elements with equal weight. Challenging this view, here, we show that ensemble statistics are estimated by combining parafoveal and foveal statistics in proportion to their reliability. In a series of experiments, observers reproduced the average orientation of an ensemble of stimuli under varying levels of visual uncertainty.
resultsEnsemble statistics were affected by multiple spatial biases, in particular, a strong and persistent bias towards the center of the visual field. This bias, evident in the majority of subjects and in all experiments, scaled with uncertainty: the higher the uncertainty in the ensemble statistics, the larger the bias towards the element shown at the fovea.
conclusionOur findings indicate that ensemble perception cannot be explained by simple uniform pooling. The visual system weights information anisotropically from both the parafovea and the fovea, taking the intrinsic spatial anisotropies of vision into account to compensate for visual uncertainty.
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