license: apache-2.0
tags:
- braindecode
- eeg
- ieeg
- mvpformer
- seizure-detection
library_name: braindecode
MVPFormer-S seizure detector (SWEC)
MVPFormer-S with its SWEC LoRA adapters merged in and the seizure classification head attached. Ready for inference.
from braindecode.models import MVPFormer
model = MVPFormer.from_pretrained("braindecode/mvpformer-s-swec")
Outputs 2 classes (non-seizure, seizure).
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
@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}
}