doi/highspeed-glm: DataLad dataset containing first-level GLM results used for feature selection in Wittkuhn & Schuck, 2020, Nature Communications. For details, see: @ 19456dfe036fe98f504d411e435b67c372d6e1d2

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

13 Commity

4 Gałęzie

1 Wydania

Lennart Wittkuhn 19456dfe03 update sections in docs		3 lat temu
.datalad	284afd9f40 [DATALAD] new dataset	3 lat temu
bids @ 0375611e65	be08b4bef7 [DATALAD] Recorded changes	3 lat temu
code	19456dfe03 update sections in docs	3 lat temu
fmriprep @ 3a75ea5551	7ed92ca7a5 [DATALAD] Recorded changes	3 lat temu
l1pipeline	a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py	3 lat temu
logs	57558d96aa add empty /logs and /work folder	3 lat temu
tools @ aa2f54e1da	9412a55988 [DATALAD] Recorded changes	3 lat temu
work	57558d96aa add empty /logs and /work folder	3 lat temu
.gitattributes	d1227b920c intial commit of code and docs	3 lat temu
.gitignore	756160988f ignore nipype logs and error outputs	3 lat temu
.gitmodules	7ed92ca7a5 [DATALAD] Recorded changes	3 lat temu
README.md	5ca2a1e893 Apply YODA dataset setup	3 lat temu
highspeed-glm.Rproj	d1227b920c intial commit of code and docs	3 lat temu

		
				README.md
			
				Project 

Dataset structure

All inputs (i.e. building blocks from other sources) are located in
inputs/.
All custom code is located in code/.