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:description: How to cite MOABB in academic publications. BibTeX entries for the MOABB software (Zenodo DOI 10.5281/zenodo.10034223) and the MOABB benchmark paper.
:keywords: cite MOABB, MOABB BibTeX, MOABB DOI, BCI benchmark citation, MOABB paper
Citing MOABB and related publications
============================================
If you use MOABB in your experiments, please cite this library when
publishing a paper to increase the visibility of open science initiatives:
- Aristimunha, B., Carrara, I., Guetschel, P., Sedlar, S., Rodrigues, P., Sosulski, J., Narayanan, D., Bjareholt, E., Barthelemy, Q., Schirrmeister, R. T., Kobler, R., Kalunga, E., Darmet, L., Gregoire, C., Abdul Hussain, A., Gatti, R., Goncharenko, V., Andreev, A., Tates, A., Kojima, S., Thielen, J., Hajhassani, D., Begany, K., Moreau, T., Roy, Y., Jayaram, V., Barachant, A., & Chevallier, S. (2026). Mother of all BCI Benchmarks (Version 1.5.0). Zenodo. `10.5281/zenodo.10034223 <https://doi.org/10.5281/zenodo.10034223>`__
and here is the Bibtex version:
.. code-block:: bibtex
@software{Aristimunha_Mother_of_all,
author = {Aristimunha, Bruno and
Carrara, Igor and
Guetschel, Pierre and
Sedlar, Sara and
Rodrigues, Pedro and
Sosulski, Jan and
Narayanan, Divyesh and
Bjareholt, Erik and
Barthelemy, Quentin and
Schirrmeister, Robin Tibor and
Kobler, Reinmar and
Kalunga, Emmanuel and
Darmet, Ludovic and
Gregoire, Cattan and
Abdul Hussain, Ali and
Gatti, Ramiro and
Goncharenko, Vladislav and
Andreev, Anton and
Tates, Alberto and
Kojima, Simon and
Thielen, Jordy and
Hajhassani, Davoud and
Begany, Katelyn and
Moreau, Thomas and
Roy, Yannick and
Jayaram, Vinay and
Barachant, Alexandre and
Chevallier, Sylvain},
title = {Mother of all BCI Benchmarks},
year = 2026,
publisher = {Zenodo},
version = {1.5.0},
url = {https://github.com/NeuroTechX/moabb},
doi = {10.5281/zenodo.10034223},
}
If you want to cite the scientific contributions of MOABB, you could use the following paper:
- Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Bruna Junqueira Lopes, Sébastien Velut, Salim Khazem, Thomas Moreau. `The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark <https://cnrs.hal.science/hal-04537061/>`__, 2023. HAL: hal-04537061.
- Vinay Jayaram and Alexandre Barachant. MOABB: trustworthy algorithm
benchmarking for BCIs. Journal of neural engineering 15.6 (2018):
066011. `DOI:10.1088/1741-2552 <https://doi.org/10.1088/1741-2552/aadea0>`__
Here is the BibTeX entry for the above paper:
.. code-block:: bibtex
@article{moabb2018,
title={MOABB: trustworthy algorithm benchmarking for BCIs},
author={Jayaram, Vinay and Barachant, Alexandre},
journal={Journal of neural engineering},
volume={15},
number={6},
pages={066011},
year={2018},
publisher={IOP Publishing}
}
If you publish a paper using MOABB, please contact us on [gitter][link_gitter] or open an
issue! We would love to hear about your work and help you promote it.