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Confidence resets reveal hierarchical adaptive learning in humans
Hierarchical processing is pervasive in the brain, but its computational significance for learning under uncertainty is disputed. On the one hand, hierarchical models provide an optimal framework and are becoming increasingly popular to study cognition. On the other hand, non-hierarchical (flat) mod...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474633/ https://www.ncbi.nlm.nih.gov/pubmed/30964861 http://dx.doi.org/10.1371/journal.pcbi.1006972 |