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

Patrick McClure, Dustin Moraczewski, Ka Chun Lam +2

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…