A predictive coding account of MMN and brain plasticity
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1
Department of Psychology, University California Los Angeles, United States
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2
Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
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3
Institute for Empirical Research in Economics, University of Zurich, Switzerland
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4
Developmental Cognitive Neuroscience, Institute of Child Health, University College London, United Kingdom
Predictive coding models state that the brain perceives and makes inferences about the world by recursively updating predictions about sensory input. Thus, perception could result from comparing bottom-up input from the environment with top-down predictions. Predictive coding as a model of cortical organization and function has been used to frame the mismatch negativity (MMN), and supporting empirical evidence has been furnished by dynamic causal modelling (DCM), a novel tool for connectivity analysis of neuroimaging data. In the light of this framework, the generation of the MMN, an event-related response to unpredictable events, reflects prediction error, which occurs whenever the current input does not match a previously learnt rule. In brief, this talk will discuss how MMN can be framed within a predictive coding scheme, and show the usefulness of DCM in investigating the underlying cortical mechanisms of responses to unpredictable auditory events. Moreover, alternative candidate models that map onto mechanistic hypotheses for MMN generation will be discussed. These models correspond to alternative hierarchical cortical networks, which can be statistically evaluated within the Bayesian framework of DCM. Finally, it will be shown how tone repetition can induce connectivity changes over time (or plasticity), both between distant cortical areas and within an area belonging to a cortical network. This suggests that learning an auditory perceptual model from the environment is associated with repetition-dependent plasticity in the human brain.
Conference:
MMN 09
Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications, Budapest, Hungary, 4 Apr - 7 Apr, 2009.
Presentation Type:
Oral Presentation
Topic:
Symposium 2: Predictive models within and of MMN
Citation:
Garrido
M,
Kilner
J,
Kiebel
S,
Stephan
K,
Baldeweg
T and
Friston
K
(2009). A predictive coding account of MMN and brain plasticity.
Conference Abstract:
MMN 09
Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications.
doi: 10.3389/conf.neuro.09.2009.05.040
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Received:
23 Mar 2009;
Published Online:
23 Mar 2009.
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Correspondence:
Marta Garrido, Department of Psychology, University California Los Angeles, Los Angeles, United States, migarrido@ucla.edu