Interpretable and integrative deep learning for discovering brain-behaviour associations

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DOI10.5281/zenodo.10987604Zenodo10987604MaRDI QIDQ6679058

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 17 April 2024

Copyright license: No records found.



This record contains the data of the paper "Interpretable and integrative deep learning for discovering brain-behaviour associations". In this paper, we employ a digital avatar procedure as an interpretability module capable of reporting the relationships learned within a multi-view variational autoencoder. We integrate this procedure into a novel framework that utilises stability selection to identify meaningful and reproducible associations between brain imaging and behaviour.






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