Publications

Peer-reviewed Journal Articles


  1. Howe, P. D. & Little, D. R. (in press). Searching for the highest number. Attention, Perception & Psychophysics. [Accepted 11/10/2014].
  2. Blunden, A. G., Wang, T., Griths, D. & Little, D. R. (2014). Logical-rules and the classification of integral dimensions: Arbitrary dimensions are not necessarily processed coactively. Frontiers in Psychology., 5, 1531.
  3. Donkin, C., Little, D. R. & Houpt, J. W. (2014). Assessing the speed-accuracy trade-off effect on the capacity of information processing. Journal of Experimental Psychology: Human Perception & Performance, 40, 1183-1202.
  4. Little, D. R., Lewandowsky, S. & Craig, S. (2014). Working memory capacity and fluid abilities: The more difficult the item, the more more is better. Frontiers in Psychology: Cognitive Science, 5, 239.
  5. Yang, C-T., Little, D. R. & Hsu, C-C. (2014). The influence of cueing on attentional focus in perceptual decision making. Attention, Perception & Psychophysics, 76, 2256-2275. DOI: 10.3758/s13414-014-0709-0
  6. Little, D. R., Nosofsky, R. M., Donkin, C. & Denton, S. E. (2013). Logical-rules and the classification of integral dimensioned stimuli. Journal of Experimental Psychology: Learning, Memory & Cognition, 39, 801-820.
  7. Cropper, S. J., Kvansakul, J. G. S. & Little, D. R. (2013). The categorisation of non-categorical colours: A novel paradigm in colour perception. PLoS-ONE, 8, e59945, 1-21.
  8. Little, D. R., Oehmen, R., Dunn, J., Hird, K. and Kirsner, K. (2013). Fluency Profiling System: An automated system for analyzing the temporal properties of speech. Behavior Research Methods, 45, 191-202.
  9. Howe P. D., Incledon, N. C. & Little, D. R. (2012). Can attention be confined to just part of a moving object? Revisting target-distractor merging in multiple object tracking. PLoS-ONE, 7 (7), e41491.
  10. Hudson, C., Howe P. D., & Little, D. R. (2012). Hemifield effects in multiple identity tracking. PLoS-ONE, 7, (8), e43796.
  11. Little, D. R. (2012). Numerical predictions for serial, parallel and coactive logical rule-based models of categorization response times. Behavior Research Methods, 44, 1148-1156.
  12. Nosofsky, R. M., Little, D. R. & James, T. W. (2012). Activation in the neural network responsible for categorization and recognition reflects parameter changes. Proceedings of the National Academy of Sciences, 109, 333-338.
  13. Sewell, D. K., Little, D. R. & Lewandowsky, S. (2011). Bayesian computation and mechanism: Theoretical plurality drives scienti c emergence. Behavioral & Brain Sciences, 34, 212-213.
  14. Craig, S., Lewandowsky, S. & Little, D. R. (2011). Error discounting in probabilistic category learning. Journal of Experimental Psychology: Learning, Memory & Cognition, 37, 673-687.
  15. Little, D. R., Nosofsky, R. M., & Denton, S. (2011). Response time tests of logical rule-based models of categorization. Journal of Experimental Psychology: Learning, Memory & Cognition, 37, 1-27.
  16. Nosofsky, R. M., Little, D. R., Donkin, C. & Fific, M. (2011). Short-term memory scanning viewed as exemplar-based categorization. Psychological Review, 118, 280-315.
  17. Fific, M., Little, D. R. & Nosofsky, R. M. (2010). Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches. Psychological Review, 117, 309-348.
  18. Nosofsky, R. M. & Little, D. R. (2010). Classification response times in probabilistic rule-based category structures: Contrasting exemplar-retrieval and decision-bound models. Memory & Cognition, 38, 916-927.
  19. Little, D. R. & Lewandowsky, S. (2009). Better learning with more error: Probabilistic feedback increases sensitivity to correlated cues. Journal of Experimental Psychology: Learning, Memory, & Cognition, 35, 1041-1061.
  20. Little, D. R. & Lewandowsky, S. (2009). Beyond non-utilization: Irrelevant cues can gate learning in probabilistic categorization. Journal of Experimental Psychology: Human Perception and Performance, 35, 530-550.
  21. Little, D. R., Lewandowsky, S. & Heit, E. (2006). Ad hoc category restructuring. Memory & Cognition, 34 (7), 1398-1431.
  22. Book Chapters

  23. Little, D. R. & Lewandowsky, S. (2012). Multiple cue probability learning. In N. Seel (Ed.) Encyclopedia of the Sciences of Learning, New York: Springer.
  24. Lewandowsky, S., Little, D. R. & Kalish, M. L. (2007). Knowledge and expertise. In F. T. Durso, R. Nickerson, S. Dumais, S. Lewandowsky, & T. Perfect (Eds.). Handbook of applied cognition, 2nd Ed. (pp. 83 - 110). Chicester: Wiley.
  25. Referreed Conference Proceedings

  26. Little, D. R., Lewandowsky, S. & Craig, S. (2013). Working memory capacity and fluid abilities: The more difficult the item, the more more is better. Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society, 918-923.
  27. Little, D. R., Lewandowsky, S. & Griffiths, T. L. (2012) A Bayesian model of Raven's Progressive Matrices. In N. Miyake, D. Peebles & R. P. Cooper (Eds.), Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society (pp. 1918-1923). Austin, TX: Cognitive Science Society.
  28. Little, D. R. & Shiffrin, R. M. (2009). Simplicity bias in the estimation of causal functions. Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society, 1157-1162.