ERP evidence for the ecological validity of artificial language learning


Abstract

The experimental study of artificial language learning has become a widely used means of investigating the predictions of theories of phonology and of learning (see Moreton and Pater (2012a; 2012b) for a review). This paper presents an ERP study of brain responses to violations of lab-learned phonotactics. Novel words that violated a learned phonotactic constraint elicited a larger Late Positive Component (LPC; also known as P600) than novel words that satisfied it. This constitutes evidence for the abstractness of the encoded generalization in that the LPC is also associated with syntactic violations and with violations of musical expectations.


Documents:

Manuscript As of March, 2017

Poster Presented at LabPhon 15, and the LSA annual meeting, 2016

Late Positivity

    Late positivity to nonwords which violate the lab-learned pattern relative to nonwords which fit the lab-learned pattern.