Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets

Igor Carrara, Theodore Papadopoulo

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DOI: 10.1088/1741-2552/ad171a
Published: 2024-01-12
Container: Journal of Neural Engineering
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/ad171a,
  title = {Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets},
  author = {Igor Carrara and Theodore Papadopoulo},
  year = {2024},
  journal = {Journal of Neural Engineering},
  doi = {10.1088/1741-2552/ad171a},
  url = {https://doi.org/10.1088/1741-2552/ad171a}
}

RIS

TY  - JOUR
TI  - Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets
AU  - Igor Carrara
AU  - Theodore Papadopoulo
PY  - 2024
JO  - Journal of Neural Engineering
DO  - 10.1088/1741-2552/ad171a
UR  - https://doi.org/10.1088/1741-2552/ad171a
ER  -

APA

Carrara, I., & Papadopoulo, T. (2024). Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ad171a

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crossref · retrieved 2026-09-27T05:55:12.970Z