- Series Information
- Short Contents
- Oxford Library Of Psychology
- About The Editors
- ERP Components: The Ups and Downs of Brainwave Recordings
- Beyond ERPs: Oscillatory Neuronal Dynamics
- ERP Features and EEG Dynamics: An ICA Perspective
- Sensory ERP Components
- The N170: Understanding the Time Course of Face Perception in the Human Brain
- The Mismatch Negativity (MMN)
- Neuropsychology of P300
- Negative Slow Waves as Indices of Anticipation: The Bereitschaftspotential, the Contingent Negative Variation, and the Stimulus-Preceding Negativity
- The Lateralized Readiness Potential
- The Error-Related Negativity (ERN/Ne)
- ERP Components and Selective Attention
- Electrophysiological Correlates of the Focusing of Attention within Complex Visual Scenes: N2pc and Related ERP Components
- What ERPs Can Tell Us about Working Memory
- Electrophysiological Correlates of Episodic Memory Processes
- Language-Related ERP Components
- ERPs and the Study of Emotion
- Event-Related Potentials and Development
- The Components of Aging
- Abnormalities of Event-Related Potential Components in Schizophrenia
- Event-Related Brain Potentials in Depression: Clinical, Cognitive, and Neurophysiological Implications
- Alterations of ERP Components in Neurodegenerative Diseases
- Homologues of Human ERP Components in Nonhuman Primates
Abstract and Keywords
The auditory mismatch negativity (MMN) is a change-specific component of the auditory event-related brain potential (ERP) that is elicited even in the absence of attention and can be used as an objective index of sound-discrimination accuracy and auditory sensory memory. The MMN enables one to reach a new level of understanding of the brain processes forming the biological substrate of central auditory perception and the different forms of auditory memory. A review of MMN studies indicates that the central auditory system performs complex cognitive operations, such as generalization leading to simple concept formation (e.g., a rising pair irrespective of the specific frequency values), rule extraction, and the anticipation of the next stimulus at the preattentive level. These findings demonstrate the presence of a cognitive change-detection mechanism in the auditory cortex.
Risto Näätänen, Institute of Psychology, University of Tartu; Estonia Centre of Integrative Neuroscience (CFIN), University of Aarhus; Cognitive Brain Research Unit, Cognitive Science Institute of Behavioural Sciences, University of Helsink.
Kairi Kreegipuu, Cognitive Brain Research Unit, Department of Psychology, University of Helsinki.
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