The neuromaps toolbox is designed to help researchers make easy,
statistically-rigorous comparisons between brain maps (or brain annotations).
Currently, neuromaps works with Python 3.7+ and requires a few
dependencies:
- matplotlib
- nibabel (>=3.0)
- nilearn (>=0.7)
- numpy (>=1.14)
- scikit-learn (>=0.17)
- scipy
You can get started by installing neuromaps from the source repository
with:
git clone https://github.com/netneurolab/neuromaps
cd neuromaps
pip install .You will also need to have Connectome Workbench installed and available on your path in
order to use most of the transformation / resampling functionality of
neuromaps.
If you use the neuromaps toolbox, please cite our preprint.
This work is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License cc-by-nc-sa.
The full license can be found in the
LICENSE file in the neuromaps distribution.