Assessing processing-based measures of implicit statistical learning: Three serial reaction time experiments do not reveal artificial grammar learning.

ABSTRACT: Implicit statistical learning, whereby predictable relationships between stimuli are detected without conscious awareness, is important for language acquisition. However, while this process is putatively implicit, it is often assessed using measures that require explicit reflection and conscious decision making. Here, we conducted three experiments combining an artificial grammar learning paradigm with a serial reaction time (SRT-AGL) task, to measure statistical learning of adjacent and nonadjacent dependencies implicitly, without conscious decision making. Participants viewed an array of six visual stimuli and were presented with a sequence of three auditory (nonsense words, Expt. 1; names of familiar objects, Expt. 2) or visual (abstract shapes, Expt. 3) cues and were asked to click on

SUBMITTER: Jenkins HE 

PROVIDER: S-EPMC11414973 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature