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

Lennart Wittkuhn 40e25d6fef update sections in docs 3 years ago
.datalad 6e0c8b0c7a [DATALAD] new dataset 3 years ago
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fmriprep @ 3a75ea5551 2297bea3bb [DATALAD] Recorded changes 3 years ago
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masks 80143d9d31 save all masks and smoothed data atfer running masks/highspeed-masks.py 3 years ago
work 77a2591ff7 add empty /work and /masks directories 3 years ago
.gitattributes 2db834d7d5 intial commit 3 years ago
.gitignore a126c47380 fix paths and include dl.get 3 years ago
.gitmodules bd8c5b9f4c [DATALAD] modified subdataset properties 3 years ago
CHANGELOG.md 447c8f2b9f Apply YODA dataset setup 3 years ago
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README.md

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

Contact