hpica - Hierarchical Probabilistic Independent Component Analysis

What is it?

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.

Getting started

Install the dependencies (numpy, matplotlib, scipy, sklearn, seaborn), download the package and run:

python setup.py install

Examples

To run the example, cd to root directory of the package and run:

python -i -m examples.plot_ica

Acknowledgements

• Thanks to the authors.