A critical evaluation of c as a measure of mnemonic resolution

Journal of Experimental Psychology: Human Perception and Performance

Volumn 38, Issue 4, 2012, Pages 1069-1072

  Morey, Richard D ^a   Morey, Candice C ^a   Brisson, Benoit ^b   Tremblay, Sébastien ^c  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^c UNIVERSITÉ LAVAL   (Canada)

Author keywords

Capacity; Change detection; Mnemonic resolution; Modeling; Process models; Working memory

Indexed keywords

ARTICLE; HUMAN; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; PSYCHOLOGICAL MODEL; SHORT TERM MEMORY; VISION;

HUMANS; MEMORY, SHORT-TERM; MODELS, PSYCHOLOGICAL; SIGNAL DETECTION, PSYCHOLOGICAL; VISUAL PERCEPTION;

EID: 84873744422     PISSN: 00961523     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0027335     Document Type: Note

References (14)

1. Awh, E., Barton, B., & Vogel, E. K. (2007). Visual working memory represents a fixed number of items regardless of complexity. Psychological Science, 18, 622-628.
2. Barton, B., Ester, E. F., & Awh, E. (2009). Discrete resource allocation in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 35, 1359-1367.
3. Bays, P. M., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321, 851-854. Retrieved from http://www.sciencemag.org/cgi/content/abstract/321/5890/851
4. Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87-114.
5. Cowan, N., Elliott, E. M., Saults, J. S., Morey, C. C., Mattox, S., Hismjatullina, A., & Conway, A. (2005). On the capacity of attention: Its estimation and its role in working memory and cognitive aptitudes. Cognitive Psychology, 51, 42-100.
6. Cowan, N., & Rouder, J. N. (2009). Comment on "Dynamic shifts of limited working memory resources in human vision". Science, 323, 877. Retrieved from http://www.sciencemag.org/cgi/content/abstract/323/5916/877c
7. Gelman, A., & Stern, H. (2006). The difference between "significant" and "not significant" is not itself statistically significant. The American Statistician, 60, 328-331.
8. Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. New York, NY: Wiley.
9. Morey, R. D. (2011). A hierarchical Bayesian model for the measurement of working memory capacity. Journal of Mathematical Psychology, 55, 8-24.
10. Pashler, H. (1988). Familiarity and visual change detection. Perception & Psychophysics, 44, 369-378.
11. Rouder, J. N., Morey, R. D., Morey, C. C., & Cowan, N. (2011). How to measure working-memory capacity in the change-detection paradigm. Psychonomic Bulletin & Review, 18, 324-330.
12. Umemoto, A., Scolari, M., Vogel, E. K., & Awh, E. (2010). Statistical learning induces discrete shifts in the allocation of working memory resources. Journal of Experimental Psychology: Human Perception and Performance, 36, 1419-1429.
13. Xu, Y., & Chun, M. M. (2006). Dissociable neural mechanisms supporting visual short-term memory for objects. Nature, 440, 91-95.
14. Zhang, W., & Luck, S. J. (2008). Discrete fixed-resolution representations in visual working memory. Nature, 453, 233-235.