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

16 Коміти

4 Гілки

1 Релізи

Lennart Wittkuhn 83719d52dc Merge remote-tracking branch 'origin/master'		4 роки тому
.datalad	6e0c8b0c7a [DATALAD] new dataset	4 роки тому
bids @ 0375611e65	16e5482b17 [DATALAD] Recorded changes	4 роки тому
code	343e7ee9ad include dl.get() for input data and update datasink path	4 роки тому
fmriprep @ 3a75ea5551	2297bea3bb [DATALAD] Recorded changes	4 роки тому
logs	ab612f5a61 add empty /logs folder	4 роки тому
masks	77a2591ff7 add empty /work and /masks directories	4 роки тому
work	77a2591ff7 add empty /work and /masks directories	4 роки тому
.gitattributes	2db834d7d5 intial commit	4 роки тому
.gitignore	48271569f1 ignore empty /logs folder	4 роки тому
.gitmodules	bd8c5b9f4c [DATALAD] modified subdataset properties	4 роки тому
CHANGELOG.md	447c8f2b9f Apply YODA dataset setup	4 роки тому
README.md	19ca73bfa3 update README.md	4 роки тому
highspeed-masks.Rproj	da56c3b9b4 update requirements and rstudio settings	4 роки тому
requirements.txt	1ad7756614 update requirements.txt after installing datatlad.api	4 роки тому

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