Multi-Pattern Visual Statistical Learning in Monolinguals and Bilinguals.


Por: Bulgarelli F, Bosch-Galceran L and Weiss DJ

Publicada: 7 feb 2019 Ahead of Print: 7 feb 2019
Categoría: Psychology (miscellaneous)

Resumen:
To date, the impact of bilingualism on statistical learning remains unclear. Here we test a novel visual statistical learning task that affords simultaneous learning of two types of regularities: co-occurrence regularities between pairs of elements and the co-occurrence of visual features that could define categories. We compared performance by English monolinguals, Spanish-Catalan bilinguals and Spanish-English bilinguals, as previous studies have suggested that bilinguals might be more open than monolinguals to the presence of multiple regularities, though no previous studies have tested the learning of multiple patterns within a single task. We demonstrated that both monolingual and bilingual participants could learn the co-occurrence probabilities and the features that define categories. To the best of our knowledge, this study is the first to demonstrate that learners can extract co-occurrence regularities along two dimensions in the visual modality. However, we did not detect significant differences in performance across groups. We close by discussing the implications for the growing literature on bilingualism and statistical learning.

Filiaciones:
Bulgarelli F:
 Department of Psychology and Neuroscience, Duke University, Durham, NC, United States

 Department of Psychology and Program in Linguistics, Pennsylvania State University, University Park, PA, United States

Weiss DJ:
 Department of Psychology and Program in Linguistics, Pennsylvania State University, University Park, PA, United States

Department of Cognition, Development and Educational Psychology, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
ISSN: 16641078
Editorial
FRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 10 Número:
Páginas: 204-204
WOS Id: 000458113000001
ID de PubMed: 30792682
imagen Open Access

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