https://github.com/hauselin/eeg_gedlda_tutorial
matlab tutorial linear discriminant via generalized eigendecomposition
Science Score: 13.0%
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matlab tutorial linear discriminant via generalized eigendecomposition
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Metadata Files
README.md
Short introduction to multivariate EEG analysis with linear discriminant analysis via generalized eigendecomposition
For intro slides, see EEG_GED.pdf
To begin MATLAB tutorial, simulations, and analyses, open simulations.m
This MATLAB script simulates different sine waves at different sources/dipoles, mixes their activity via volume conduction, and performs linear discriminant analysis via generalized eigendecomposition on the scalp EEG data (sources mixed) to recover the simulated data.
Helper functions called by simulations.m: dipole_project.m, filterFGx.m, topoplotIndie.m
emptyEEG.mat contains two structures: EEG (empty EEGLAB structure for storing EEG data) and lf (leadfield matrix for projecting dipole activity to 64 channels)
Owner
- Name: Hause Lin
- Login: hauselin
- Kind: user
- Website: hauselin.com
- Twitter: hauselin
- Repositories: 182
- Profile: https://github.com/hauselin
Researcher at MIT & World Bank
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