Exploring the relationship between features calculated from contextual embeddings and EEG band power during sentence reading in Chinese
IntroductionContextual embeddings—a core component of large language models (LLMs) that generate dynamic vector representations capturing words’ semantic properties—have demonstrated structural similarities to brain activity patterns at the single-word level. This alignment supports the theoretical...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2025.1656519/full |
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