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Strength of Temporal White Matter Pathways Predicts Semantic Learning
Learning the associations between words and meanings is a fundamental human ability. Although the language network is cortically well defined, the role of the white matter pathways supporting novel word-to-meaning mappings remains unclear. Here, by using contextual and cross-situational word learnin...
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| Publié dans: | J Neurosci |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Society for Neuroscience
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6596806/ https://ncbi.nlm.nih.gov/pubmed/29025925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.1720-17.2017 |
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