Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network

Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network

Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the language network. To understand what aspects of linguistic stimuli contribute to ANN-to-brain similarity, we used an fMRI data set of responses to n = 627 naturalistic English...

Full description

Bibliographic Details
Main Authors: Kauf, Carina, Tuckute, Greta, Levy, Roger, Andreas, Jacob, Fedorenko, Evelina
Format: Article
Language:en_US
Published: MIT Press 2024
Subjects:
Neurology
Linguistics and Language
Online Access:https://hdl.handle.net/1721.1/153506

Internet

https://hdl.handle.net/1721.1/153506

Similar Items