Behavioral correlates of cortical semantic representations modeled by word vectors.

ABSTRACT: The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field of natural language processing, provide a powerful tool for such quantitative modeling. However, whether semantic representations in the brain revealed by the word vector-based models actually capture our perception of semantic information remains unclear, as there has been no study explicitly examining the behavioral correlates of the modeled brain semantic representations. To address this issue, we compared the semantic structure of nouns and adjectives in the brain estimated from word vector-based brain models with that evaluated from human b

SUBMITTER: Nishida S 

PROVIDER: S-EPMC8260002 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature