This is an unofficial python 3 implementation for the model and algorithms introduced in Guo et al. 2013 and Shi et al. 2016. It is designed to properly model between-subject variability when decomposing multi-subject neuroimaging data with ICA.
Install the dependencies (numpy, matplotlib, scipy, sklearn, seaborn), download the package and run:
python setup.py install
To run the example, cd to root directory of the package and run:
python -i -m examples.plot_ica
- Thanks to the authors.