The dimensionality of perceptual category learning: a state-trace analysis

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dc.contributor.authorNewell, B.
dc.contributor.authorDunn, J.
dc.contributor.authorKalish, M.
dc.date.issued2010
dc.description.abstractState-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.
dc.description.statementofresponsibilityBen R. Newell, John C. Dunn and Michael Kalish
dc.identifier.citationMemory and Cognition, 2010; 38(5):563-581
dc.identifier.doi10.3758/MC.38.5.563
dc.identifier.issn0090-502X
dc.identifier.issn1532-5946
dc.identifier.orcidDunn, J. [0000-0002-3950-3460]
dc.identifier.urihttp://hdl.handle.net/2440/61664
dc.language.isoen
dc.publisherPsychonomic Soc Inc
dc.rights© 2010 The Psychonomic Society
dc.source.urihttps://doi.org/10.3758/mc.38.5.563
dc.subjectHumans
dc.subjectLikelihood Functions
dc.subjectMonte Carlo Method
dc.subjectProbability
dc.subjectOrientation
dc.subjectDiscrimination Learning
dc.subjectMemory, Short-Term
dc.subjectSerial Learning
dc.subjectPattern Recognition, Visual
dc.subjectSpace Perception
dc.subjectJudgment
dc.subjectAttention
dc.subjectModels, Psychological
dc.subjectStroop Test
dc.titleThe dimensionality of perceptual category learning: a state-trace analysis
dc.typeJournal article
pubs.publication-statusPublished

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