An important technique used in analyzing PET and fMRI, that of structural modeling, is briefly described, and the problems this presents in bridging the gap to the underlying neural networks described. Recent structural models for some tasks are summarized. New neural network approaches to understand them, based on control models, are briefly discussed and applied to the problem of consciousness.