Neurospectrum, a deep learning framework for neural dynamics is now out in Neurocomputing! Neurospectrum represents brain activity as graph wavelets and uses an autoencoder to dimensionality-reduce this representation while preserving geometry and trajectories. The trajectories are then characterized by a series of geometric and topological descriptors for regression and classification tasks, including classification of OCD.