doi/highspeed-glm: DataLad dataset containing first-level GLM results used for feature selection in Wittkuhn & Schuck, 2020, Nature Communications. For details, see: @ a64f426261994c3649ec2cab6343fa37bc68677d

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Lennart Wittkuhn a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py		4 éve
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SPM.mat	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
con_0001.nii	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
contrast_thresh_1.png	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
contrast_thresh_2.png	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
contrast_thresh_3.png	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
contrast_thresh_None.png	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve
spmT_0001.nii	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	4 éve