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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
| Published: |
MIT Press
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/153506 |