Deep neural networks (DNNs) are getting ever more employed to make predictions from functional magnetic resonance imaging (fMRI) details. We introduce two quantitative evaluation processes for saliency map procedures in fMRI, applicable every time a DNN or linear design is getting skilled to decode some information and facts from imaging data.