A lightweight deep learning library for learning on M/EEG and other neuroimaging modalities.
Project description
neuraltrain
A lightweight deep learning library for M/EEG, fMRI, and other neuroimaging modalities.
- PyTorch + Lightning for scalable model training
- Specialized architectures for MEG, EEG, fMRI, and multi-modal data
- Domain-specific losses and metrics
- Multi-GPU training with distributed backends
Install
pip install neuraltrain
Citation
If you use NeuralTrain in your research, please cite A foundation model of vision, audition, and language for in-silico neuroscience:
@article{dAscoli2026TribeV2,
title={A foundation model of vision, audition, and language for in-silico neuroscience},
author={d'Ascoli, St{\'e}phane and Rapin, J{\'e}r{\'e}my and Benchetrit, Yohann and Brooks, Teon and Begany, Katelyn and Raugel, Jos{\'e}phine and Banville, Hubert and King, Jean-R{\'e}mi},
year={2026}
}
License
This project is licensed under the MIT License. See LICENSE for details.
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