Journal article

Better Learning With More Error: Probabilistic Feedback Increases Sensitivity to Correlated Cues in Categorization

Daniel R Little, Stephan Lewandowsky

Journal of Experimental Psychology: Learning, Memory, and Cognition | AMER PSYCHOLOGICAL ASSOC | Published : 2009

DOI: 10.1037/a0015902

Grants

Awarded by National Institutes of Health, National Institute of Mental Health

Funding Acknowledgements

Preparation of this article was facilitated by several Australian Research Council Discovery Grants and an Australian Professorial Fellowship to Stephan Lewandowsky. Daniel R. Little was supported by a Jean Rogerson postgraduate scholarship and by an National Institutes of Health, National Institute of Mental Health Training Grant T32 MH019879-14.

Citation metrics

12Web of Science
11Scopus

Keywords

Correlated Cues
Learning
Memory
Modeling Individual-Differences
Selective Attention
Recognition
Humans
Intention
Models, Statistical
Transfer (psychology)
Social Sciences
Feedback
Probability
Cues
Exemplar
Psychology
Photic Stimulation
Color Perception
Problem Solving
Irrelevant Cues
Prior Knowledge
Psychology, Experimental
Decision Bound Models
Exemplars Versus Rules
Classification
Sensitivity and Specificity
Concept Formation
Reaction Time
Transfer, Psychology
Cross-Situational Statistics
Attention
Probabilistic Categorization