Complete training-data provenance and Braindecode software citation

README-only metadata audit, 2026-11-09. Braindecode Zenodo citation. No weights, config, license, or upstream paper citations changed.

README.md

@@ -360,3 +360,38 @@ accessions, Hub ids otherwise). `nm`/`on` ids are datasets on [NEMAR](https://ne
 - **Incomplete list.** Same as braindecode/labram-pretrained: private self-collected EEG not itemised; released-checkpoint cohort unconfirmed. A dataset missing here is therefore not proof that these weights never saw it.
 - Sources: arXiv:2405.18765 Appendix D (Pre-training Dataset Description); arXiv:2405.18765 Appendix D; arXiv:2405.18765 References; arXiv:2405.18765 Sec. 3 Experiments, paragraph 'Pre-training & Fine-tuning'.
 
+
+
+## Cite Braindecode
+
+If you use this braindecode port in scientific work, cite the software on Zenodo,
+[doi:10.5281/zenodo.17699192](https://doi.org/10.5281/zenodo.17699192),
+and the original model and datasets cited above.
+
+```bibtex
+@software{braindecode,
+  author = {Aristimunha, Bruno and
+            Guetschel, Pierre and
+            Wimpff, Martin and
+            Gemein, Lukas and
+            Rommel, Cedric and
+            Banville, Hubert and
+            Sliwowski, Maciej and
+            Wilson, Daniel and
+            Brandt, Simon and
+            Gnassounou, Théo and
+            Paillard, Joseph and
+            {Junqueira Lopes}, Bruna and
+            Sedlar, Sara and
+            Moreau, Thomas and
+            Chevallier, Sylvain and
+            Gramfort, Alexandre and
+            Schirrmeister, Robin Tibor},
+  title = {Braindecode: toolbox for decoding raw electrophysiological brain data
+           with deep learning models},
+  url = {https://github.com/braindecode/braindecode},
+  doi = {10.5281/zenodo.17699192},
+  publisher = {Zenodo},
+  license = {BSD-3-Clause},
+}
+```