Semantics-weighted lexical surprisal modeling of naturalistic functional MRI time-series during spoken narrative listening

Semantics-weighted lexical surprisal modeling of naturalistic functional MRI time-series during spoken narrative listening

Probabilistic language models are increasingly used to provide neural representations of linguistic features under naturalistic settings. Word surprisal models can be applied to continuous fMRI recordings during task-free listening of narratives, to detect regions linked to language prediction and c...

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Bibliographic Details
Main Authors: Andrea G. Russo, Maria De Martino, Azzurra Mancuso, Giorgio Iaconetta, Renzo Manara, Annibale Elia, Alessandro Laudanna, Francesco Di Salle, Fabrizio Esposito
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:NeuroImage
Subjects:
Naturalistic stimulus
Surprisal
Narrative comprehension
Functional MRI
Language
Italian
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920307679

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http://www.sciencedirect.com/science/article/pii/S1053811920307679

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