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Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences

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Zenodo2025-04-21 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.11442095
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The dataset and code used for the publication of "Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences". Data path derivatives (./data/derivatives/): preprocessed data. meg_quat-tsss-withEOG_100hz_0d3-40: meg data preprocessed at 100 Hz filtered between 0.3 and 40 Hz. FreeSurfer: anatomy data preprocessed behavior_data (./behavior_data/) stimuli (./exp_procedure/material/): exp stimuli and procedure features (./data/features/): calculated phonological and linguistic features. Code path Preprocessing: [preprocessing.py]: preprocessing of behavior and MEG data. [recon.py]: reconstruction of T1 .niift data into surface data in FreeSurfer. [analysis_stimuli.ipynb]: preprocessing and feature extraction of stimuli. Analysis [analysis_meg.ipynb]: spectral, time course, and RSA analysis.
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Zenodo
创建时间:
2024-06-03
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