lkorczowski/BCI-2021-Riemannian-Geometry-workshop
Riemannian Geometry workshop at vBCI Meeting 2021
This resource helps BCI researchers and neuroscientists who work with EEG/MEG data to apply advanced mathematical techniques for better signal processing, analysis, and mental state classification. It provides an overview of Riemannian Geometry, demonstrating how it can be used to improve tasks like artifact removal, motor imagery classification, and understanding brain states. Users will gain practical skills to implement these methods, moving from raw EEG data to more robust and accurate analytical results.
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Use this if you are a BCI researcher or neuroscientist interested in applying advanced Riemannian Geometry methods to improve your EEG/MEG data analysis, preprocessing, and classification tasks.
Not ideal if you are looking for a basic introduction to BCI concepts or if you do not work with EEG/MEG data.
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Jul 15, 2021
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