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Post-error slowing predicts rule-based but not information-integration category learning
We examine whether error monitoring, operationalized as the degree to which individuals slow down after committing an error (i.e, post-error slowing), is differentially important in the learning of rule-based vs. information-integration category structures. Rule-based categories are most efficiently...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3745515/ https://ncbi.nlm.nih.gov/pubmed/23625741 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13423-013-0441-0 |
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