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A toolbox for projecting, resampling, and comparing brain maps

Project description

neuromaps_logo.png

The neuromaps toolbox is designed to help researchers make easy, statistically-rigorous comparisons between brain maps (or brain annotations).

https://zenodo.org/badge/DOI/10.5281/zenodo.5842499.svg

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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