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The P600 in Implicit Artificial Grammar Learning

Authors: Silva, S.; Folia, V.; Hagoort, P.; Hagoort, P.; Petersson, K.M.;

The P600 in Implicit Artificial Grammar Learning

Abstract

AbstractThe suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some have shown a syntax‐related P600 component, but it has not been ruled out that the AGL P600 effect is a response to surface features (e.g., subsequence familiarity) rather than the underlying syntax structure. Therefore, in this study, we controlled for the surface characteristics of the test sequences (associative chunk strength) and recorded the EEG before (baseline preference classification) and after (preference and grammaticality classification) exposure to a grammar. After exposure, a typical, centroparietal P600 effect was elicited by grammatical violations and not by unfamiliar subsequences, suggesting that the AGL P600 effect signals a response to structural irregularities. Moreover, preference and grammaticality classification showed a qualitatively similar ERP profile, strengthening the idea that the implicit structural mere‐exposure paradigm in combination with preference classification is a suitable alternative to the traditional grammaticality classification test.

Countries
Netherlands, Portugal, Portugal
Keywords

Male, 110 000 Neurocognition of Language, Adolescent, Syntactic violations, Ciências sociais::Psicologia, DI-BCB_DCC_Theme 1: Language and Communication, Psychological sciences, Psychology, Young Adult, Neurobiology, Information, Humans, Learning, Social sciences::Psychology, Evoked Potentials, Language, Psycholinguistics, Mere exposure, Brain potentials, Brain, Electroencephalography, Chunk strength, Knowledge, Acquisition, Ciências psicológicas, Psicologia, Female, Erp

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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