semvec/pypi-packages huggingface dataset:
BiModNeuroCNN 0.1.0
Tools for bimodal training of CNNs, i.e. concurrent training with two data types
License: MIT License

**BiModNeuroCNN**

This is a package for training bimodal deep learning archtectures on dual streams 
of neurological data. Package tested on Electroencephalography (EEG) and 
function near-infrared stpectroscopy (fNIRS).

Work in progress - more to be added in future.

# Installation

1. Install PyTorch: http://pytorch.org/
2. Install Braindecode: https://github.com/braindecode/braindecode

3. Install latest release of BiModNeuroCNN using pip:
```
pip install bimodneurocnn
```

## Dataset
Link to dataset to be added upon upcoming publication.

## Citing
Paper currently under review.

Braindecode was used to implement this package:
>@article {HBM:HBM23730,
>author = {Schirrmeister, Robin Tibor and Springenberg, Jost Tobias and Fiederer,
>  Lukas Dominique Josef and Glasstetter, Martin and Eggensperger, Katharina and Tangermann, Michael and
>  Hutter, Frank and Burgard, Wolfram and Ball, Tonio},
>title = {Deep learning with convolutional neural networks for EEG decoding and visualization},
>journal = {Human Brain Mapping},
>issn = {1097-0193},
>url = {http://dx.doi.org/10.1002/hbm.23730},
>doi = {10.1002/hbm.23730},
>month = {aug},
>year = {2017},
>keywords = {electroencephalography, EEG analysis, machine learning, end-to-end learning, brainâ€“machine interface,
>  brainâ€“computer interface, model interpretability, brain mapping},
>}