Deep neural networks (DNNs) are being ever more applied to make predictions from functional magnetic resonance imaging (fMRI) facts. We introduce two quantitative evaluation methods for saliency map strategies in fMRI, applicable anytime a DNN or linear design is staying trained to decode some information and facts from imaging knowledge.