In recent years, computational models have become an increasingly important part both of cognitive science and cognitive neuroscience. In tandem with these developments neuroscientific and cognitive investigations of musical experience and behaviour have been gathering pace. In this context, music cognition constitutes a rich and challenging area of cognitive science in which the processing of complex, multi-dimensional temporal sequences can be studied without interference of meaning or semantics (see Pearce & Rohrmeier, 2012, for a review). Because of its complexity and well-defined problem-space, computational modelling of music witnessed a rapid growth of successful higher-order modelling approaches. This workshop investigates computational modelling as a bridge between cognition and the brain, with a focus on understanding the psychological mechanisms involved in perceiving and producing music.