ArticleProceedings of the National Academy of Sciences of the United States of America2024
V1 neurons are tuned to perceptual borders in natural scenes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 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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6 citing papers in PubMed.
- Gestalt laws enhance the representation of figures over backgrounds in the visual cortex and influence contrast perception.Scientific reports · 2026Article
- Are we ready to tackle perceptual segmentation of natural scenes?Vision research · 2026Review
- Line drawings as a tool to probe edge sensitivity in natural scenes.Journal of vision · 2025Article
- Visual cortex speckle imaging for shape recognition.Scientific reports · 2025Article
- Ocular drift shakes the stationary view on pattern vision.Journal of vision · 2025Article
- Modulatory feedback determines attentional object segmentation in a model of the ventral stream.PloS one · 2025Article
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Authors and funding
7 authors.
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Abstract
The visual system needs to identify perceptually relevant borders to segment complex natural scenes. The primary visual cortex (V1) is thought to extract local borders, and higher visual areas are thought to identify the perceptually relevant borders between objects and the background. To test this conjecture, we used natural images that had been annotated by human observers who marked the perceptually relevant borders. We assessed the effect of perceptual relevance on V1 responses using human neuroimaging, macaque electrophysiology, and computational modeling. We report that perceptually relevant borders elicit stronger responses in the early visual cortex than irrelevant ones, even if simple features, such as contrast and the energy of oriented filters, are matched. Moreover, V1 neurons discriminate perceptually relevant borders surprisingly fast, during the early feedforward-driven activity at a latency of ~50 ms, indicating that they are tuned to the features that characterize them. We also revealed a delayed, contextual effect that enhances the V1 responses that are elicited by perceptually relevant borders at a longer latency. Our results reveal multiple mechanisms that allow V1 neurons to infer the layout of objects in natural images.
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