ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024
Neural Correlates of Crowding in Macaque Area V4.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Spatial anisotropy in crowding and ensemble perception.Journal of vision · 2026Article
- Functional Clusters for Shape, Texture, and Motion Encoding in Macaque V2.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Suppressive Interactions between Nearby Stimuli in Visual Cortex Reflect Crowding.Journal of cognitive neuroscience · 2026Article
- Non-uniform contextual interactions in the visual cortex place fundamental limits on spatial vision.Cell reports · 2025Article
- Functional clusters for shape, texture, and motion encoding in macaque V2.bioRxiv : the preprint server for biology · 2025Article
- Dynamics of vision: Grouping takes longer than crowding.Journal of vision · 2025Article
- Compact deep neural network models of visual cortex.bioRxiv : the preprint server for biology · 2023Article
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2 authors.
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Abstract
Visual crowding refers to the phenomenon where a target object that is easily identifiable in isolation becomes difficult to recognize when surrounded by other stimuli (distractors). Many psychophysical studies have investigated this phenomenon and proposed alternative models for the underlying mechanisms. One prominent hypothesis, albeit with mixed psychophysical support, posits that crowding arises from the loss of information due to pooled encoding of features from target and distractor stimuli in the early stages of cortical visual processing. However, neurophysiological studies have not rigorously tested this hypothesis. We studied the responses of single neurons in macaque (one male, one female) area V4, an intermediate stage of the object-processing pathway, to parametrically designed crowded displays and texture statistics-matched metameric counterparts. Our investigations reveal striking parallels between how crowding parameters-number, distance, and position of distractors-influence human psychophysical performance and V4 shape selectivity. Importantly, we also found that enhancing the salience of a target stimulus could alleviate crowding effects in highly cluttered scenes, and this could be temporally protracted reflecting a dynamical process. Thus, a pooled encoding of nearby stimuli cannot explain the observed responses, and we propose an alternative model where V4 neurons preferentially encode salient stimuli in crowded displays. Overall, we conclude that the magnitude of crowding effects is determined not just by the number of distractors and target-distractor separation but also by the relative salience of targets versus distractors based on their feature attributes-the similarity of distractors and the contrast between target and distractor stimuli.
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