title: Cortical electrophysiological network dynamics of feedback learning.
abstract: Understanding the neurophysiological mechanisms of learning is important for both fundamental and clinical neuroscience. We present a neurophysiologically inspired framework for understanding cortical mechanisms of feedback-guided learning. This framework is based on dynamic changes in systems-level oscillatory synchronization, reflecting changes in synaptic plasticity between stimulus-processing and motor areas that are modulated in a top-down fashion by different areas of the prefrontal cortex. We make new and testable predictions for how large-scale cortical networks support learning from feedback. Testing these predictions may provide new insights into the basic mechanisms underlying learning and how these mechanisms may be impaired in clinical disorders in which feedback learning is compromised.
authors.affiliation: Department of Psychology, University of Amsterdam, Weesperplein 4, Amsterdam 1018 XA, the Netherlands.
authors.forename: Michael X
authors.initials: MX
authors.lastname: Cohen
authors.forename: Katharina
authors.initials: K
authors.lastname: Wilmes
authors.forename: Irene van de
authors.initials: Iv
authors.lastname: Vijver
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology*; D055724:Electrophysiological Phenomena / Q000502:physiology*; D005246:Feedback; D006801:Humans; D007858:Learning / Q000502:physiology*