Posterror slowing predicts rule-based but not information-integration category learning

Helen Tam, W. Todd Maddox, Cynthia L. Huang-Pollock

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1343-1349
Number of pages7
JournalPsychonomic Bulletin and Review
Issue number6
StatePublished - Dec 2013

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)


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