neuromaps toolbox is designed to help researchers make easy,
statistically-rigorous comparisons between brain maps (or brain annotations).
The accompanying paper is published in Nature Methods.
neuromaps works with Python 3.7+ and requires a few
You can get started by installing
neuromaps from the source repository
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
If you use the
neuromaps toolbox, please cite our paper.
If you use data included in the
neuromaps repository, be sure to cite the original paper that published this data.
A table with references for each brain map can be found in the Wiki.
This work is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
The full license can be found in the
LICENSE file in the
- Installation and setup
- User guide
- Contributing a new brain map
- Citing neuromaps
- Reference API
neuromaps.datasets- Dataset fetchers
neuromaps.images- Image and surface handling
neuromaps.nulls- Null models
neuromaps.parcellate- Parcellation utilities
neuromaps.plotting- Plotting functions
neuromaps.points- Triangle mesh utilites
neuromaps.resampling- Resampling workflows
neuromaps.stats- Statistical functions
neuromaps.transforms- Transformations between spaces