Before revision:  We trained and tested the DNN classifier by task fMRI data from human connectome project (HCP) S1200 dataset . Reading just a single block of fMRI time series of each task for each individual, the novel classification method identified the seven tasks with 91.75\% accuracy in test.
After revision:  We trained and tested the DNN classifier by task fMRI data from human connectome project (HCP) S1200 dataset (N=1034). In tests to verify its performance, the proposed classification method identified the seven tasks with 91.75\% accuracy in test.