| --- |
| license: apache-2.0 |
| tags: [braindecode, eeg, ieeg, mvpformer, seizure-detection] |
| library_name: braindecode |
| --- |
| |
| # MVPFormer-S MAYO classifier |
|
|
| MVPFormer-S with the MAYO LoRA adapters (rank 2) merged in and the MAYO classification head attached. Evaluation setup: paper Appendix G.12. |
|
|
| ```python |
| from braindecode.models import MVPFormer |
| |
| model = MVPFormer.from_pretrained("braindecode/mvpformer-s-mayo") |
| ``` |
|
|
| Outputs 2 classes. Trained on the first four patients, tested on the remainder. |
|
|
| ## Licence and intended use |
|
|
| Weights © IBM Corp. 2024-2025, released under Apache-2.0 (`SPDX-License-Identifier: Apache-2.0`) |
| by <https://github.com/IBM/multi-variate-parallel-transformer>. Redistributed here unmodified in |
| substance; only the parameter names were remapped onto braindecode's `MVPFormer`. |
|
|
| The authors attach the following restriction, reproduced verbatim from the upstream README: |
|
|
| > This software may only be used for research. For other applications any liability is denied. |
| > In particular, the software must not be used for diagnostic purposes. |
|
|
| The paper's broader-impact statement adds: "both our model and our dataset are developed purely |
| for research, and may not be used for any other purpose, especially diagnostic." |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{carzaniga2025foundation, |
| title={A foundation model with multi-variate parallel attention to generate neuronal activity}, |
| author={Carzaniga, Francesco and Hersche, Michael and Sebastian, Abu and Schindler, Kaspar and Rahimi, Abbas}, |
| journal={arXiv preprint arXiv:2506.20354}, |
| year={2025} |
| } |
| ``` |
|
|
|
|
