Notebook for Rimeannian Geometric Classification

[JadinTredup]

Start notebook on explaining the differences in Riemannian Geometric Classification methods. Topics to include:

• [x] Cell for fetching datasets for each individual task using the eegnb.datasets.datasets.fetch_dataset
• [x] Cell for loading datasets using eegnb.analysis.utils.load_dataset
• [x] Differences between Minimum Distance to Mean (MDM) and Tangent Space (TS)
• [ ] Process for applying RGC to SSVEP
• [ ] Process for applying RGC to Motor Imagery
• [ ] Process for applying RGC to ERP
• [ ] Compare methods to standard vectorization + logistic regression results
• [x] Add Notion2 data to google drive

[JohnGriffiths]

PR on this here

https://github.com/NeuroTechX/eeg-notebooks/pull/55

We will leave comments in the review there.