DataLad dataset containing the MVPA decoding data used Wittkuhn & Schuck, 2020, Nature Communications https://wittkuhn.mpib.berlin/highspeed/

Lennart Wittkuhn 332d94a2ff add decoding results after running highspeed-decoding.py on cluster vor 3 Jahren
.datalad ea9a87cb7d [DATALAD] new dataset vor 3 Jahren
bids @ fe49606245 b0619e0031 [DATALAD] Recorded changes vor 3 Jahren
code 006ef63d41 fix requirements, paths, minor bugs vor 3 Jahren
decoding 332d94a2ff add decoding results after running highspeed-decoding.py on cluster vor 3 Jahren
fmriprep @ 3a75ea5551 b2b98e0d7e [DATALAD] Recorded changes vor 3 Jahren
glm @ a64f426261 006ef63d41 fix requirements, paths, minor bugs vor 3 Jahren
logs fc419d1b29 add empty /logs folder vor 3 Jahren
masks @ 80143d9d31 006ef63d41 fix requirements, paths, minor bugs vor 3 Jahren
.gitattributes 3487380fbf add code and docs vor 3 Jahren
.gitignore 332d94a2ff add decoding results after running highspeed-decoding.py on cluster vor 3 Jahren
.gitmodules b0619e0031 [DATALAD] Recorded changes vor 3 Jahren
CHANGELOG.md 6b6dc62d60 Apply YODA dataset setup vor 3 Jahren
README.md 6b6dc62d60 Apply YODA dataset setup vor 3 Jahren
highspeed-decoding.Rproj 3487380fbf add code and docs vor 3 Jahren

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/.