Alpha neurofeedback training improves SSVEP-based BCI performance.

@article{Wan2016AlphaNT,
  title={Alpha neurofeedback training improves SSVEP-based BCI performance.},
  author={Feng Wan and Janir Nuno da Cruz and Wenya Nan and Chi Man Wong and Mang I Vai and Agostinho Rosa},
  journal={Journal of neural engineering},
  year={2016},
  volume={13 3},
  pages={036019}
}
OBJECTIVE Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can provide relatively easy, reliable and high speed communication. However, the performance is still not satisfactory, especially in some users who are not able to generate strong enough SSVEP signals. This work aims to strengthen a user's SSVEP by alpha down-regulating neurofeedback training (NFT) and consequently improve the performance of the user in using SSVEP-based BCIs. APPROACH An experiment… CONTINUE READING
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