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
.
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.
Contents
- Installation and setup
- User guide
- Examples
- Contributing a new brain map
- Citing neuromaps
- Reference API
neuromaps.datasets
- Dataset fetchersneuromaps.images
- Image and surface handlingneuromaps.nulls
- Null modelsneuromaps.parcellate
- Parcellation utilitiesneuromaps.plotting
- Plotting functionsneuromaps.points
- Triangle mesh utilitesneuromaps.resampling
- Resampling workflowsneuromaps.stats
- Statistical functionsneuromaps.transforms
- Transformations between spaces