Before revision:  The proposed method achieved an average accuracy of 89 \% and 94.7\% on a working memory task and a motor classification task, respectively, higher than the accuracy of 69.2\% and 68.6\% obtained by the MVPA. A visualization analysis showed that the DNN automatically detected features from areas of the brain related to each task.
After revision:  The proposed method achieved an average accuracy of 89 \% and 94.7\% on a working memory task and a motor classification task, respectively, higher than the accuracy of 69.2\% and 68.6\% obtained by the SVM-MVPA. A network visualization analysis showed that the DNN automatically detected features from areas of the brain related to each task.