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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...
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| Pubblicato in: | PLoS Comput Biol |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6474633/ https://ncbi.nlm.nih.gov/pubmed/30964861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006972 |
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