V1 neurons are tuned to perceptual borders in natural scenes

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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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-11-04
DOI
https://doi.org/10.1073/pnas.2221623121
Citations
7
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
2.40

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article

V1 neurons are tuned to perceptual borders in natural scenes

Serge O. Dumoulin, Amparo Gilhuis, Pieter R. Roelfsema, Wietske Zuiderbaan et al.
7 citations
Proceedings of the National Academy of Sciences
Visual perception and processing mechanisms
2.40
article

V1 neurons are tuned to perceptual borders in natural scenes

Serge O. Dumoulin, Amparo Gilhuis, Pieter R. Roelfsema, Wietske Zuiderbaan, Rob R. M. Teeuwen, Paolo Papale, Matthew W. Self
article en
7 citations

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.

Proceedings of the National Academy of SciencesVol. 121(46)
IMT School for Advanced Studies Lucca (IT), Netherlands Institute for Neuroscience (NL), Royal Netherlands Academy of Arts and Sciences (NL), Institut de la Vision (FR), Utrecht University (NL), Amsterdam UMC Location University of Amsterdam (NL), Sorbonne Université (FR), Spinoza Centre for Neuroimaging (NL), Vrije Universiteit Amsterdam (NL)
European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, European Research Council, Erasmus+, HORIZON EUROPE European Research Council
Reduced inequalities
Openalex Percentile: Top 11%
Visual perception and processing mechanisms
2.40
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