.. meta:: :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 `__ 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 `__, 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 `__ 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.