Perceptual resolution of ambiguous neural representations for form and chromaticity.


Journal

Journal of vision
ISSN: 1534-7362
Titre abrégé: J Vis
Pays: United States
ID NLM: 101147197

Informations de publication

Date de publication:
01 11 2019
Historique:
entrez: 6 11 2019
pubmed: 7 11 2019
medline: 28 3 2020
Statut: ppublish

Résumé

A coherent percept of our visual world is important for functioning. Ambiguities, however, are implicit in visual neural representations and must be resolved for stable perception of objects and scenes. Grouping processes can link multiple neurally ambiguous fragments across the visual field. Experiments here determined how multiple visual features of each fragment contribute to perceptual resolution of ambiguity by grouping. Chromatic interocular-switch rivalry, a technique for presenting competing dichoptic images, was used to induce ambiguous neural representations for equiluminant chromatic discs and gratings. Two dichoptic stimuli were presented simultaneously to measure the amount of time they both appeared the same in at least one feature domain. The two stimuli were grouped when they appeared to share ambiguous features such as color, orientation, and spatial frequency more often than chance. Experiments here tested whether unshared and unambiguous features impeded grouping of the ambiguous components. Overall, the results show that grouping can be driven by neural ambiguity that is common for fragments across the visual field, even when the fragments also have other unshared, unambiguous features.

Identifiants

pubmed: 31689718
pii: 2755286
doi: 10.1167/19.13.5
pmc: PMC6833983
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

5

Subventions

Organisme : NEI NIH HHS
ID : R01 EY026618
Pays : United States

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Auteurs

Emily Slezak (E)

University of Chicago, Department of Psychology, Chicago, IL, USA.

Andrew J Coia (AJ)

University of Chicago, Department of Psychology, Chicago, IL, USA.

Steven K Shevell (SK)

University of Chicago, Department of Psychology, Chicago, IL, USA.

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Classifications MeSH