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

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.

journal_name

Front Hum Neurosci

authors

Lewis AG,Schoffelen JM,Schriefers H,Bastiaansen M

doi

10.3389/fnhum.2016.00085

subject

Has Abstract

pub_date

2016-03-03 00:00:00

pages

85

issn

1662-5161

journal_volume

10

pub_type

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