Data for: Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions

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README.txt(1015 B)
No. of downloads: 45
eeg.0.zip(858.91 MB)
No. of downloads: 30
eeg.1.zip(849.1 MB)
No. of downloads: 24
eeg.2.zip(807.26 MB)
No. of downloads: 20
stimuli.zip(48.52 MB)
No. of downloads: 22
Date
2021
Authors
Brodbeck, Christian
Bhattasali, Shohini
Das, Proloy
Advisor
Simon, Jonathan Z.
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Abstract
This dataset accompanies “Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions” (Brodbeck et al., 2021) and is a derivative of the Alice EEG datasets collected at the University of Michigan Computational Neurolinguistics Lab (Bhattasali et al., 2020), licensed under CC BY (https://creativecommons.org/licenses/by/4.0/) and the original work can be found at DOI: 10.7302/Z29C6VNH. The files were converted from the original matlab format to fif format in order to be compatible with Eelbrain. This dataset includes the EEG data for 33 participants, which were used in the example analyses for the paper. The original Alice dataset included data from all 49 participants and participants were excluded due to artifacts and incorrect behavioral responses (for more details see Bhattasali et al., 2020). You can use the Python script data_grab.py at https://github.com/christianbrodbeck/Alice-Eelbrain to download and unzip these files into a specified destination folder.
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