Daniel R. Little

Psychological Sciences University of Melbourne, Parkville, Victoria, Australia 
Logical Rules, Reaction Times, Knowledge Representation, Categorization, Memory, Explanation Formation, Bayes
"Daniel Little"
Cross-listing: Neurotree

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Howard ZL, Garrett P, Little DR, et al. (2020) A show about nothing: No-signal processes in systems factorial technology. Psychological Review
Blunden AG, Howe PDL, Little DR. (2019) Evidence that within-dimension features are generally processed coactively. Attention, Perception & Psychophysics
Cheng XJ, McCarthy CJ, Wang TSL, et al. (2018) Composite faces are not (necessarily) processed coactively: A test using systems factorial technology and logical-rule models. Journal of Experimental Psychology. Learning, Memory, and Cognition
Baribault B, Donkin C, Little DR, et al. (2018) Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences of the United States of America. 115: 2607-2612
Little DR, Eidels A, Houpt JW, et al. (2017) Set size slope still does not distinguish parallel from serial search. The Behavioral and Brain Sciences. 40: e145
Yang CT, Fifić M, Chang TY, et al. (2017) Systems Factorial Technology provides new insights on the other-race effect. Psychonomic Bulletin & Review
Wang TS, Christie N, Howe PD, et al. (2016) Global Cue Inconsistency Diminishes Learning of Cue Validity. Frontiers in Psychology. 7: 1743
Little DR, Wang T, Nosofsky RM. (2016) Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm. Cognitive Psychology. 89: 1-38
Chang TY, Little DR, Yang CT. (2016) Selective attention modulates the effect of target location probability on redundant signal processing. Attention, Perception & Psychophysics
Moneer S, Wang T, Little DR. (2016) The Processing Architectures of Whole-Object Features: A Logical-Rules Approach. Journal of Experimental Psychology. Human Perception and Performance
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