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.
Release files for neuraltrain 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuraltrain-0.3.0.tar.gz | 109.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuraltrain-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 251.1 kB
Release files / neuraltrain-0.3.0.tar.gz
| Download URL | neuraltrain-0.3.0.tar.gz |
|---|---|
| Size | 109.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.13
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Release files / neuraltrain-0.3.0-py3-none-any.whl
| Download URL | neuraltrain-0.3.0-py3-none-any.whl |
|---|---|
| Size | 142.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.13
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