Integrating when and what information in the left parietal lobe allows language rule generalization.

ABSTRACT: A crucial aspect when learning a language is discovering the rules that govern how words are combined in order to convey meanings. Because rules are characterized by sequential co-occurrences between elements (e.g., "These cupcakes are unbelievable"), tracking the statistical relationships between these elements is fundamental. However, purely bottom-up statistical learning alone cannot fully account for the ability to create abstract rule representations that can be generalized, a paramount requirement of linguistic rules. Here, we provide evidence that, after the statistical relations between words have been extracted, the engagement of goal-directed attention is key to enable rule generalization. Incidental learning performance during a rule-learning task on an artificial language revea

SUBMITTER: Orpella J 

PROVIDER: S-EPMC7660506 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature