Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/61664
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
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 1532-5946 |
Statement of Responsibility: | 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 Probability Orientation Discrimination Learning Memory, Short-Term Serial Learning Pattern Recognition, Visual Space Perception Judgment Attention Models, Psychological Stroop Test |
Rights: | © 2010 The Psychonomic Society |
DOI: | 10.3758/MC.38.5.563 |
Published version: | http://dx.doi.org/10.3758/mc.38.5.563 |
Appears in Collections: | Aurora harvest Psychology publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.