Intact learning of artificial grammars and intact category learning by patients with Parkinson's disease

Paul J. Reber, Larry R. Squire*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

Patients with Parkinson's disease (PD) have been shown to be impaired on some nondeclarative memory tasks that require cognitive skill learning (perceptual-motor sequence learning, probabilistic classification). To determine what other skill-based tasks are impaired, 13 patients with PD were tested on artificial grammar learning, artificial grammar learning with transfer to novel lettersets, and prototype learning. Patients with PD performed similarly to controls on all 3 tests. The intact learning exhibited by PD patients on these tests suggests that nondeclarative cognitive skill learning is not a single entity supported by the neostriatum. If learning the regularities among visual stimuli is the principal feature of artificial grammar learning and prototype learning, then these forms of skill learning may be examples of perceptual learning, and they may occur in early visual cortical processing areas.

Original languageEnglish (US)
Pages (from-to)235-242
Number of pages8
JournalBehavioral Neuroscience
Volume113
Issue number2
DOIs
StatePublished - 1999

ASJC Scopus subject areas

  • Behavioral Neuroscience

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