Complete training-data provenance and Braindecode software citation
Browse filesREADME-only metadata audit, 2026-11-09. Braindecode Zenodo citation. No weights, config, license, or upstream paper citations changed.
README.md
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@@ -86,3 +86,38 @@ model = STEEGFormer.from_pretrained(
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Yang, L., Sun, Q., Li, A. & Van Hulle, M. M. (2026). *Are EEG foundation models
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worth it? Comparative evaluation with traditional decoders in diverse BCI tasks.*
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ICLR 2026. https://openreview.net/forum?id=5Xwm8e6vbh
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Yang, L., Sun, Q., Li, A. & Van Hulle, M. M. (2026). *Are EEG foundation models
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worth it? Comparative evaluation with traditional decoders in diverse BCI tasks.*
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ICLR 2026. https://openreview.net/forum?id=5Xwm8e6vbh
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## Cite Braindecode
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If you use this braindecode port in scientific work, cite the software on Zenodo,
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[doi:10.5281/zenodo.17699192](https://doi.org/10.5281/zenodo.17699192),
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and the original model and datasets cited above.
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```bibtex
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@software{braindecode,
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author = {Aristimunha, Bruno and
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Guetschel, Pierre and
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Wimpff, Martin and
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Gemein, Lukas and
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Rommel, Cedric and
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Banville, Hubert and
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Sliwowski, Maciej and
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Wilson, Daniel and
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Brandt, Simon and
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Gnassounou, Théo and
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Paillard, Joseph and
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{Junqueira Lopes}, Bruna and
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Sedlar, Sara and
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Moreau, Thomas and
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Chevallier, Sylvain and
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Gramfort, Alexandre and
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Schirrmeister, Robin Tibor},
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title = {Braindecode: toolbox for decoding raw electrophysiological brain data
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with deep learning models},
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url = {https://github.com/braindecode/braindecode},
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doi = {10.5281/zenodo.17699192},
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publisher = {Zenodo},
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license = {BSD-3-Clause},
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}
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```
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