Brain Responses to Auditory Mismatch and Novelty Detection (eBook)

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 also exploring its diagnostic properties. The book 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), autism spectrum disorder (ASD), schizophrenia and the cognitive aspects of Parkinson's disease. The book combines animal experiments on adaptation, human auditory evoked potentials, including MMN and their maturational, as well as aging aspects into one comprehensive resource. - Compares and contrasts animal vs human data - Provides detailed maturational and aging aspects - Details the differences between auditory, visual and somatosensory MMN networks - Reviews predictive coding in various psychiatric disorders

Dr. Jos J. Eggermont is an Emeritus Professor in the Departments of Physiology and Pharmacology, and Psychology at the University of Calgary in Alberta, Canada. Dr. Eggermont is one of the most renowned scientists in the field of the auditory system and his work has contributed substantially to the current knowledge about hearing loss. His research comprises most aspects of audition with an emphasis on the electrophysiology of the auditory system in experimental animals. He has published over 225 scientific articles, authored/edited 10 books, and contributed to over 100 book chapters all focusing on the auditory system.

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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 also exploring its diagnostic properties. The book 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), autism spectrum disorder (ASD), schizophrenia and the cognitive aspects of Parkinson's disease. The book combines animal experiments on adaptation, human auditory evoked potentials, including MMN and their maturational, as well as aging aspects into one comprehensive resource. - Compares and contrasts animal vs human data- Provides detailed maturational and aging aspects- Details the differences between auditory, visual and somatosensory MMN networks- Reviews predictive coding in various psychiatric disorders