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trapmusic_matlab

This library contains Matlab implementation of TRAP MUSIC multi-source localization algorithm. The library contains three functions trapmusic_presetori.m trapmusic_optori.m trapmusic_example.m

The implementation is based on
Makela, Stenroos, Sarvas, Ilmoniemi. Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization. NeuroImage 167(2018):73--83. https://doi.org/10.1016/j.neuroimage.2017.11.013 For further information on the TRAP MUSIC approach, please see the publication. I also kindly ask you to cite the paper, if you use the approach and/or this implementation. If you do not have access to the paper, please send me a request by email.

I share the programs hoping that they would be useful for EEG/MEG data analysis, method development and learning. The programs are built and tested in Matlab R2019b, but they should work in any recent Matlab version. If not, please let me know.

trapmusic_matlab is licensed under BSD 3-Clause License. Copyright (c) 2020, Matti Stenroos. All rights reserved. The software comes without any warranty.

Contact: [email protected]

Release notes: v1.0 (v200422) First public release

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trapmusic_matlab's Issues

integrate trapmusic into fieldtrip

Hi Matti (@MattiStenroos), I am totally game for this. I think that it shouldn't be too difficult. Just a matter of sorting out the details, and getting the API right to conform to what fieldtrip is used to.
Perhaps you could have a look at the functions that are inside fieldtrip/inverse

The rationale of the modular design is explained in some detail here:
http://www.fieldtriptoolbox.org/development/module/inverse/

Right now I am quite busy with a toolkit course, and next week I will be taking a week off, but afterwards I will be able to work with you on this.

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