Details

Autor(en) / Beteiligte

• Silva, Susana
• Folia, Vasiliki
• Hagoort, Peter
• Petersson, Karl Magnus

Titel

The P600 in Implicit Artificial Grammar Learning

Ist Teil von

• Cognitive science, 2017-01, Vol.41 (1), p.137-157

Ort / Verlag

United States: Wiley-Blackwell

Erscheinungsjahr

2017

Quelle

Access via Wiley Online Library

Beschreibungen/Notizen

• The 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.