Predictive coding is a computational version of hierarchical coding whereby feedback signals adjust the sensory inputs to the expected values. Currently, it is the most used framework in cognitive science studies and their clinical application. Brain Responses to Auditory Mismatch and Novelty Detection: Predictive Coding from Cocktail Parties to Auditory-Related Disorders provides the connections between changes in the 'error-generating network' and disorder-specific changes, while exploring its diagnostic properties. The book also allows the reader to appreciate the outcomes of predictive coding theory in fields of auditory streaming (including the cocktail-party effect) and psychiatric disorders with an auditory component. These include mild cognitive impairment (MCI), Alzheimer's disease, attention-deficit and hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), schizophrenia and the cognitive aspects of Parkinson's disease. This book combines animal experiments on adaptation, human auditory evoked potentials including MMN, and their maturational, as well as aging aspects into one comprehensive resource.