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 年之前
.datalad 6e0c8b0c7a [DATALAD] new dataset 3 年之前
bids @ 0375611e65 16e5482b17 [DATALAD] Recorded changes 3 年之前
code 40e25d6fef update sections in docs 3 年之前
fmriprep @ 3a75ea5551 2297bea3bb [DATALAD] Recorded changes 3 年之前
logs ab612f5a61 add empty /logs folder 3 年之前
masks 80143d9d31 save all masks and smoothed data atfer running masks/highspeed-masks.py 3 年之前
work 77a2591ff7 add empty /work and /masks directories 3 年之前
.gitattributes 2db834d7d5 intial commit 3 年之前
.gitignore a126c47380 fix paths and include dl.get 3 年之前
.gitmodules bd8c5b9f4c [DATALAD] modified subdataset properties 3 年之前
CHANGELOG.md 447c8f2b9f Apply YODA dataset setup 3 年之前
README.md 19ca73bfa3 update README.md 3 年之前
highspeed-masks.Rproj da56c3b9b4 update requirements and rstudio settings 3 年之前
requirements.txt 1ad7756614 update requirements.txt after installing datatlad.api 3 年之前

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