Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects-Reference-Cited by-同舟云学术

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Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: EMNLP 2021
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Author:

Caucheteux Charlotte,Gramfort Alexandre,King Jean-Remi

Publisher

Association for Computational Linguistics

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shared functional specialization in transformer-based language models and the human brain;Nature Communications;2024-06-29

2. Hierarchical dynamic coding coordinates speech comprehension in the brain;2024-04-19

3. Incremental Accumulation of Linguistic Context in Artificial and Biological Neural Networks;2024-01-16

4. Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing;Scientific Data;2023-12-04

5. A unifying computational account of temporal context effects in language across the human cortex;2023-08-04

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