mat_py_mat | using spectral parameterization within a Matlab workflow

mat_py_mat is a Jupyter Notebook library. mat_py_mat has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository offers examples for how to integrate FOOOF into a Matlab workflow. This approach does use Python directly, and seeks to demonstrate how to use a primarily Matlab based approach, using Python only as needed for fitting power spectrum models. The idea is that one can do all of the processing and analysis in Matlab, up to and including calculating power spectra. These power spectra can then be saved out. These files can then be loaded into Python, and FOOOF can be used to fit power spectrum, and do any model related processing needed using the FOOOF module. The model results can also be saved out, and loaded back into Matlab. The benefit of this approach, is that you have full access to the FOOOF module in Python. This does require that you have Python and FOOOF installed. You can follow the directions to do so from here. Note that the main documentation for the FOOOF module itself is on the documentation site. Alternatively there is a Matlab wrapper, which you can use to call FOOOF directly from Matlab, without having to interact directly with Python. The spectral parameterization algorithm has also been implemented in the Brainstorm Matlab toolbox. You can find out more about the Brainstorm implementation in this tutorial.