title: Posterror slowing predicts rule-based but not information-integration category learning.
abstract: We examined whether error monitoring, operationalized as the degree to which individuals slow down after committing an error (i.e., posterror slowing), is differentially important in the learning of rule-based versus information-integration category structures. Rule-based categories are most efficiently solved through the application of an explicit verbal strategy (e.g., "sort by color"). In contrast, information-integration categories are believed to be learned in a trial-by-trial, associative manner. Our results indicated that posterror slowing predicts enhanced rule-based but not information-integration category learning. Implications for multiple category-learning systems are discussed.
authors.affiliation: Department of Psychology, Pennsylvania State University, University Park, PA, USA.
authors.forename: Helen
authors.initials: H
authors.lastname: Tam
authors.forename: W Todd
authors.initials: WT
authors.lastname: Maddox
authors.forename: Cynthia L
authors.initials: CL
authors.lastname: Huang-Pollock
mesh_terms: D000293:Adolescent; D000328:Adult; D003210:Concept Formation / Q000502:physiology*; D005260:Female; D006801:Humans; D007721:Knowledge of Results, Psychological; D007858:Learning / Q000502:physiology*; D008297:Male; D011597:Psychomotor Performance / Q000502:physiology; D011930:Reaction Time / Q000502:physiology*; D055815:Young Adult