A toolbox for projecting, resampling, and comparing brain maps
Project description
The neuromaps toolbox is designed to help researchers make easy, statistically-rigorous comparisons between brain maps (or brain annotations).
Installation requirements
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.
Citation
If you use the neuromaps toolbox, please cite our preprint.
License information
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.
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