Hello everyone,
I am currently working at the Multimodal Functional Imaging Laboratory at McGill/Concordia University in Montreal, Canada, under the supervision of Dr Christophe Grova. Grova Research Group - Concordia University
An EEG/MEG source localization inverse method entitled the Maximum Entropy on the Mean (MEM) has been published by our laboratory and largely validated on simulated and clinical data. Here is the seminal research paper presenting our method: MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches
The method is implemented in MATLAB as a pluging of Brainstorm software: Tutorials/TutBEst - Brainstorm
We would like to make the method available on Python, for MNE users. To do so, our first step is to create a Python “wrapper” that runs our MATLAB code, so that the exact same version of the code would be available for Braintorm and MNE.
Here is the code for the wrapper: GitHub - ilianAZZ/best-python
Eventually, we would like to develop a full Python version in a near futyre, but before that, the present wrapper will allow us to compare the result from Brainstorm versus MNE package.
My request is that we would like our module to be listed on the MNE website, on the page: Overview of the MNE tools suite — MNE 1.8.0.dev51+gc600f9095 documentation
What would the steps to follow to be included on that list?
Cordially,
Ilian