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CNN and RNN based architectures for Motor Imagery Classification

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EEG_BCI

In this project, we explore different architectures for the task of Motor Imagery Classification and Subject Identification using EEG data. We use BCI competition dataset available at http://www.bbci.de/competition/iv/ (Data sets 2a)

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CNN and RNN based architectures for Motor Imagery Classification

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