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DataLad dataset containing anatomical masks used for feature selection in Wittkuhn & Schuck, 2020, Nature Communications. For details, see:

19 Commits

4 Branches

1 Publications

Lennart Wittkuhn 80143d9d31 save all masks and smoothed data atfer running masks/highspeed-masks.py		il y a 4 ans
.datalad	6e0c8b0c7a [DATALAD] new dataset	il y a 4 ans
bids @ 0375611e65	16e5482b17 [DATALAD] Recorded changes	il y a 4 ans
code	a126c47380 fix paths and include dl.get	il y a 4 ans
fmriprep @ 3a75ea5551	2297bea3bb [DATALAD] Recorded changes	il y a 4 ans
logs	ab612f5a61 add empty /logs folder	il y a 4 ans
masks	80143d9d31 save all masks and smoothed data atfer running masks/highspeed-masks.py	il y a 4 ans
work	77a2591ff7 add empty /work and /masks directories	il y a 4 ans
.gitattributes	2db834d7d5 intial commit	il y a 4 ans
.gitignore	a126c47380 fix paths and include dl.get	il y a 4 ans
.gitmodules	bd8c5b9f4c [DATALAD] modified subdataset properties	il y a 4 ans
CHANGELOG.md	447c8f2b9f Apply YODA dataset setup	il y a 4 ans
README.md	19ca73bfa3 update README.md	il y a 4 ans
highspeed-masks.Rproj	da56c3b9b4 update requirements and rstudio settings	il y a 4 ans
requirements.txt	1ad7756614 update requirements.txt after installing datatlad.api	il y a 4 ans

Highspeed Masks

Description

This repository contains binarized anatomical masks used in Wittkuhn & Schuck, 2020, Nature Communications.

Please visit the project website at https://wittkuhn.mpib.berlin/highspeed.

Usage

Get data

Run code

Install required packages:

mkvirtualenv -p $(which python3) highspeed-masks
pip install -r requirements.txt