Skip to content

fontaine618/BFFM-BCI

Repository files navigation

- 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

About

Bayesian Functional Factor Model for EEG-Based Brain-Computer Interfaces

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages