FMRI reveals language-specific predictive coding during naturalistic sentence comprehension.

ABSTRACT: Much research in cognitive neuroscience supports prediction as a canonical computation of cognition across domains. Is such predictive coding implemented by feedback from higher-order domain-general circuits, or is it locally implemented in domain-specific circuits? What information sources are used to generate these predictions? This study addresses these two questions in the context of language processing. We present fMRI evidence from a naturalistic comprehension paradigm (1) that predictive coding in the brain's response to language is domain-specific, and (2) that these predictions are sensitive both to local word co-occurrence patterns and to hierarchical structure. Using a recently developed continuous-time deconvolutional regression technique that supports data-driven hemodynamic r

SUBMITTER: Shain C 

PROVIDER: S-EPMC7140726 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature