In “Temporal Autoencoding Restricted Boltzmann Machine“, Hausler and Susemihl explain how to train a deep belief RBM to learn to recognize patterns in sequences of inputs (mostly video). The resulting networks could recognize the patterns in human motion capture or the non-linear dynamics of a bouncing ball.