A Predictive Coding Perspective on Beta Oscillations during Sentence-Level Language Comprehension

Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehen...

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Veröffentlicht in:Frontiers in human neuroscience Jg. 10; S. 85
Hauptverfasser: Lewis, Ashley G., Schoffelen, Jan-Mathijs, Schriefers, Herbert, Bastiaansen, Marcel
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland Frontiers Research Foundation 03.03.2016
Frontiers Media S.A
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ISSN:1662-5161, 1662-5161
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Zusammenfassung:Oscillatory neural dynamics have been steadily receiving more attention as a robust and temporally precise signature of network activity related to language processing. We have recently proposed that oscillatory dynamics in the beta and gamma frequency ranges measured during sentence-level comprehension might be best explained from a predictive coding perspective. Under our proposal we related beta oscillations to both the maintenance/change of the neural network configuration responsible for the construction and representation of sentence-level meaning, and to top-down predictions about upcoming linguistic input based on that sentence-level meaning. Here we zoom in on these particular aspects of our proposal, and discuss both old and new supporting evidence. Finally, we present some preliminary magnetoencephalography data from an experiment comparing Dutch subject- and object-relative clauses that was specifically designed to test our predictive coding framework. Initial results support the first of the two suggested roles for beta oscillations in sentence-level language comprehension.
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Edited by: Anne Keitel, University of Glasgow, UK
Reviewed by: Lars Meyer, Max-Planck-Gesellschaft, Germany; Aneta Kielar, Baycrest Hospital, Canada
ISSN:1662-5161
1662-5161
DOI:10.3389/fnhum.2016.00085