Combining sparseness and smoothness improves classification accuracy and interpretability

► A method to add spatio-temporal prior knowledge to a sparse classifier is analyzed. ► Combining smoothing and sparseness increased decoding accuracy and interpretability. ► Experiment with MEG data shows the method captures task-related brain activity.