Cue predictiveness and uncertainty determine cue representation during visual statistical learning

This study investigated how humans process probabilistic-associated information when encountering varying levels of uncertainty during implicit visual statistical learning. A novel probabilistic cueing validation paradigm was developed to probe the representation of cues with high (75% probability),...

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Detalles Bibliográficos
Autores principales: Zhang, Puyuan, Chen, Hui, Tong, Shelley Xiuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631146/
https://www.ncbi.nlm.nih.gov/pubmed/37923354
http://dx.doi.org/10.1101/lm.053777.123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631146/
https://www.ncbi.nlm.nih.gov/pubmed/37923354
http://dx.doi.org/10.1101/lm.053777.123

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