Interpretable and integrative deep learning for discovering brain-behaviour associations
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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