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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),...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory Press
2023
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| Materias: | |
| 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 |