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## deepretinotopy/1.0.5 ##

This container has FreeSurfer 7.3.2, Connectome Workbench v1.5.0, PyTorch 1.6, PyTorch geometric 1.6.3, and CUDA 10.2. These packages are required for data preparation, model training, and inference.

Example:
```
wb_command
wb_view
wb_shortcuts
```

More documentation can be found here: https://github.com/felenitaribeiro/deepRetinotopy_TheToolbox

To run the container outside of this environment: ml deepretinotopy/1.0.5

Citation:
```@article{Ribeiro2022,
	author = {Ribeiro, Fernanda L and Bollmann, Steffen and Cunnington, Ross and Puckett, Alexander M},
	arxivId = {2203.08312},
	journal = {arXiv},
	keywords = {Geometric deep learning, high-resolution fMRI, vision, retinotopy, explainable AI},
	title = {{An explainability framework for cortical surface-based deep learning}},
	url = {https://arxiv.org/abs/2203.08312},
	year = {2022}
}


@article{Ribeiro2021,
	author = {Ribeiro, Fernanda L and Bollmann, Steffen and Puckett, Alexander M},
	doi = {https://doi.org/10.1016/j.neuroimage.2021.118624},
	issn = {1053-8119},
	journal = {NeuroImage},
	keywords = {cortical surface, high-resolution fMRI, machine learning, manifold, visual hierarchy,Vision},
	pages = {118624},
	title = {{Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning}},
	url = {https://www.sciencedirect.com/science/article/pii/S1053811921008971},
	year = {2021}
}```

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