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 4 年之前
.datalad 284afd9f40 [DATALAD] new dataset 4 年之前
bids @ 0375611e65 be08b4bef7 [DATALAD] Recorded changes 4 年之前
code 138c8f24af update paths in glm script to conform with new dataset structure 4 年之前
fmriprep @ 3a75ea5551 7ed92ca7a5 [DATALAD] Recorded changes 4 年之前
l1pipeline a64f426261 add results of first-level glm for all participants after running code/glm/highspeed-glm.main.py 4 年之前
logs 57558d96aa add empty /logs and /work folder 4 年之前
tools @ aa2f54e1da 9412a55988 [DATALAD] Recorded changes 4 年之前
work 57558d96aa add empty /logs and /work folder 4 年之前
.gitattributes d1227b920c intial commit of code and docs 4 年之前
.gitignore 756160988f ignore nipype logs and error outputs 4 年之前
.gitmodules 7ed92ca7a5 [DATALAD] Recorded changes 4 年之前
README.md 5ca2a1e893 Apply YODA dataset setup 4 年之前
highspeed-glm.Rproj d1227b920c intial commit of code and docs 4 年之前

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/.