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Type: Journal article
Title: The dimensionality of perceptual category learning: a state-trace analysis
Author: Newell, B.
Dunn, J.
Kalish, M.
Citation: Memory and Cognition, 2010; 38(5):563-581
Publisher: Psychonomic Soc Inc
Issue Date: 2010
ISSN: 0090-502X
Statement of
Ben R. Newell, John C. Dunn and Michael Kalish
Abstract: State-trace analysis was used to investigate the effect of concurrent working memory load on perceptual category learning. Initial reanalysis of Zeithamova and Maddox (2006, Experiment 1) revealed an apparently two-dimensional state-trace plot consistent with a dual-system interpretation of category learning. However, three modified replications of the original experiment found evidence of a single resource underlying the learning of both rule-based and information integration category structures. Follow-up analyses of the Zeithamova and Maddox data, restricted to only those participants who had learned the category task and performed the concurrent working memory task adequately, revealed a one-dimensional plot consistent with a single-resource interpretation and the results of the three new experiments. The results highlight the potential of state-trace analysis in furthering our understanding of the mechanisms underlying category learning.
Keywords: Humans
Likelihood Functions
Monte Carlo Method
Discrimination Learning
Memory, Short-Term
Serial Learning
Pattern Recognition, Visual
Space Perception
Models, Psychological
Stroop Test
Rights: © 2010 The Psychonomic Society
DOI: 10.3758/MC.38.5.563
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Appears in Collections:Aurora harvest
Psychology publications

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