Raw MEG Data for Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments
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下载链接:
https://figshare.com/articles/dataset/Raw_MEG_Data_for_Adaptive_Circuit_Dynamics_Across_Human_Cortex_During_Evidence_Accumulation_in_Changing_Environments/14039384
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资源简介:
This dataset contains raw MEG data for:
Murphy PR, Wilming N, Hernandez Bocanegra DC, Prat
Ortega G & Donner TH (2021). Adaptive circuit dynamics across human cortex during
evidence accumulation in changing environments. Nature
Neuroscience. Online ahead of print.
Each .zip contains one MEG recording in native CTF format, typically consisting of several blocks of the decision-making task described in the paper.
These datasets are readable by, e.g., the FieldTrip Toolbox for Matlab (https://www.fieldtriptoolbox.org/)
or python-mne (https://mne.tools/stable/index.html).
File naming scheme is ID-SESS_Surprise_DATE_REC.ds,
where ID and SESS are the participant ID and session number that allow identification
with behavioural and eye-tracking data also made available on Figshare.
To parse events etc. from these data, have a
look at example code on https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex. A good start would be `\motor_localizer\MEGpreprocessing.m`.
创建时间:
2021-03-05



