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

Lennart Wittkuhn a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py		il y a 4 ans
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_smooth0	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth1	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth2	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth3	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth4	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth5	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth6	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans
_smooth7	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	il y a 4 ans