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- pyproject.toml details all the dependencies required to run the experiments. - The pypoetry package can also be used for management: the poetry.lock file is also included. - experiments contains the BCI-Experiments repo - K_protocal contains the real data Implementations --------------- - bffmbci: out proposed methodology - eegnet: EEGNet (Lawhern et al., 2018) - nb_mn: Bayes classifier with matrix normals - swld: swLDA (Donchin et al, 2008; Krusienski et al., 2008) - data: some utility functions to load the data - initalization: some utility functions to initialize the models - results: some utility functions to compute metrics
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Bayesian Functional Factor Model for EEG-Based Brain-Computer Interfaces
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