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

@@ -86,3 +86,38 @@ accessions, Hub ids otherwise). `nm`/`on` ids are datasets on [NEMAR](https://ne
 - Supervised DANCE event detection, cross-subject. Gradient updates on BI2014a subjects 1, 2, 4, 5, 6, 7, 8, 9 (all their sessions as loaded by MOABBDataset); subject 3 is the held-out subject but its F1-event is used to keep the best epoch (torch.save on improvement), so subject 3 selected the checkpoint. 32 s windows at 128 Hz, 120 epochs per card (script default 100).
 - Sources: https://huggingface.co/braindecode/plot_dance_event_detection/resolve/main/train_checkpoint.py; W/cards-orig/plot_dance_event_detection.md; W/bd/examples/applied_examples/plot_dance_event_detection.py.
 
+
+
+## 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},
+}
+```