Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial Robustness

Deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However, they are widely seen as uninterpretable “black boxes,” as it can be difficult to discover what input information is used by the DNN in the process, something i...

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Bibliographic Details

Published in:	Aperture Neuro
Main Authors:	Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam Thomas, Francisco Pereira
Format:	Article
Language:	English
Published:	Organization for Human Brain Mapping 2023-08-01
Online Access:	https://doi.org/10.52294/001c.85074