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A predictive coding perspective on beta oscillations during sentence-level language comprehension
Lewis,Ashley G. Schoffelen,Jan-Mathijs Schriefers,Herbert Bastiaansen,Marcel
Lewis,Ashley G.
Schoffelen,Jan-Mathijs
Schriefers,Herbert
Bastiaansen,Marcel
Abstract
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.
Description
Affiliatie: 1. Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands 2. Academy for Leisure, NHTV Breda University of Applied Sciences, Breda, Netherlands
Date
2016
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Research Projects
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Keywords
language comprehension, neural oscillations, beta, predictive coding, EEG, MEG
Citation
Lewis, A G, Schoffelen, J-M, Schriefers, H & Bastiaansen, M 2016, 'A predictive coding perspective on beta oscillations during sentence-level language comprehension', Frontiers in Human Neuroscience, vol. 10. https://doi.org/10.3389/fnhum.2016.00085
License
info:eu-repo/semantics/openAccess