SSVEP Classification using GLRT
Version 1.0.0.0 (3.83 MB) by
Sam Nazari
MATLAB Scripts to classify target SSVEP frequencies for Brain Computer Interfaces (BCI)
The GLRT approach is used to classify Steady State Visual Evoked Potentials (SSVEP) corresponding to target frequencies for Brain Computer Interfaces (BCI).
Cite As
Sam Nazari (2024). SSVEP Classification using GLRT (https://github.com/snazari/Classification-of-SSVEP-Using-GLRT), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2014a
Compatible with any release
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- Sciences > Neuroscience > Human Brain Mapping > EEG/MEG/ECoG >
- Sciences > Neuroscience > Brain Computer Interfaces >
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Version | Published | Release Notes | |
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1.0.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.