Visual statistical learning of naturalistic textures.


Journal

Journal of experimental psychology. Human perception and performance
ISSN: 1939-1277
Titre abrégé: J Exp Psychol Hum Percept Perform
Pays: United States
ID NLM: 7502589

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 28 11 2023
pubmed: 5 10 2023
entrez: 5 10 2023
Statut: ppublish

Résumé

The visual system continuously adapts to the statistical properties of the environment. In this study, we demonstrated that training significantly enhanced subjects' perceptual sensitivity to co-occurrence statistics in naturalistic textures. The learning effect was specific to the statistical component and spatial location. By examining the time course of learning, we found that learning was accelerated at an untrained location. Our findings establish a link between statistical learning and visual perception, indicating multistage plasticity beyond V1 in the visual hierarchy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifiants

pubmed: 37796580
pii: 2024-13770-001
doi: 10.1037/xhp0001152
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1579-1590

Subventions

Organisme : National Natural Science Foundation of China
Organisme : STI2030-Major Projects

Auteurs

Siyuan Cheng (S)

Department of Psychology, School of Social Sciences, Tsinghua University.

Hailin Ai (H)

Department of Psychology, School of Social Sciences, Tsinghua University.

Yiran Ge (Y)

Department of Psychology, School of Social Sciences, Tsinghua University.

Yuanyi Luo (Y)

Department of Psychology, School of Social Sciences, Tsinghua University.

Nihong Chen (N)

Department of Psychology, School of Social Sciences, Tsinghua University.

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Classifications MeSH