Sparse Deconvolved Predictive Network methodology for neural dynamics modeling. Combines sparse coding, deconvolution of hemodynamic/synaptic responses, and predictive temporal modeling for extracting neural dynamics from observed signals. Applies to fMRI/EEG/Ca2+ imaging analysis, neural encoding, brain decoding.