The Number and Quality of Representations in Working Memory

Abstract

Flexible-resource theories characterize working memory as a flexible resource that can store either a large number of low-quality representations or a small number of high-quality representations. In contrast, limited-item theories propose that the number of items that can be stored in working memory is strictly limited and cannot be increased by decreasing the quality of the representations. We tested these fundamentally different conceptualizations of working memory capacity by determining whether observers could trade quality for quantity in working memory when given incentives to do so. We found no evidence that observers could increase the number of representations by decreasing their quality in working memory, but observers could make such a trade-off at earlier processing stages. Our results show that the capacity limit of working memory is best characterized as a limit on the number of items that can be stored and not as a limit on a finely divisible resource that simultaneously determines the number and quality of the representations.

Keywords

visual memory short-term memory visual attention visual perception

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References

Alvarez

G. A.

Cavanagh

(2004). The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological Science, 15, 106–111.

Alvarez

G. A.

Franconeri

S. L.

(2007). How many objects can you track? Evidence for a resource-limited attentive tracking mechanism. Journal of Vision, 7(13), Article 14. Retrieved from http://www.journalofvision.org/content/7/13/14

Anderson

D. E.

Vogel

E. K.

Awh

(2011). Precision in visual working memory reaches a stable plateau when individual item limits are exceeded. Journal of Neuroscience, 31, 1128–1138.

Atkinson

R. C.

Juola

J. F.

(1973). Factors influencing the speed and accuracy of word recognition. In Kornblum

(Ed.), Attention and performance IV (pp. 583–612). New York, NY: Academic Press.

Atkinson

R. C.

Juola

J. F.

(1974). Search and decision processes in recognition memory. In Krantz

D. H.

Atkinson

R. C.

Luce

R. D.

Suppes

(Eds.), Contemporary developments in mathematical psychology: Vol. 1. Learning, memory and thinking (pp. 243–290). San Francisco, CA: Freeman.

Awh

Barton

Vogel

E. K.

(2007). Visual working memory represents a fixed number of items regardless of complexity. Psychological Science, 18, 622–628.

Barton

Ester

E. F.

Awh

(2009). Discrete resource allocation in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 35, 1359–1367.

Bays

P. M.

Husain

(2008). Dynamic shifts of limited working memory resources in human vision. Science, 321, 851–854.

Cousineau

(2007). Confidence intervals in within-subjects designs: A simpler solution to Loftus and Masson’s method. Tutorials in Quantitative Methods for Psychology, 1, 42–45. Retrieved from http://www.tqmp.org/content/vol01-1/p042/p042.pdf

10.

Cowan

(2005). Working memory capacity. New York, NY: Psychology Press.

11.

Eriksen

C. W.

Yeh

Y. Y.

(1985). Allocation of attention in the visual field. Journal of Experimental Psychology: Human Perception and Performance, 11, 583–597.

12.

Fukuda

Vogel

Mayr

Awh

(2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic Bulletin & Review, 17, 673–679.

13.

Gazzaley

Cooney

J. W.

Rissman

D’Esposito

(2005). Top-down suppression deficit underlies working memory impairment in normal aging. Nature Neuroscience, 8, 1298–1300.

14.

Gold

J. M.

Hahn

Zhang

W. W.

Robinson

B. M.

Kappenman

E. S.

Beck

V. M.

Luck

S. J.

(2010). Reduced capacity but spared precision and maintenance of working memory representations in schizophrenia. Archives of General Psychiatry, 67, 570–577.

15.

Horowitz

T. S.

Cohen

M. A.

(2010). Direction information in multiple object tracking is limited by a graded resource. Attention, Perception, & Psychophysics, 72, 1765–1775.

16.

Howard

C. J.

Holcombe

A. O.

(2008). Tracking the changing features of multiple objects: Progressively poorer perceptual precision and progressively greater perceptual lag. Vision Research, 48, 1164–1180.

17.

Klingberg

(2010). Training and plasticity of working memory. Trends in Cognitive Sciences, 14, 317–324.

18.

Landman

Spekreijse

Lamme

V. A. F.

(2003). Large capacity storage of integrated objects before change blindness. Vision Research, 43, 149–164.

19.

Luck

S. J.

(2008). Visual short-term memory. In Luck

S. J.

Hollingworth

(Eds.), Visual memory (pp. 43–85). New York, NY: Oxford University Press.

20.

Mandler

(1980). Recognizing: The judgment of previous occurrence. Psychological Review, 87, 252–271.

21.

Miller

G. A.

(1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.

22.

Palmer

(1990). Attentional limits on the perception and memory of visual information. Journal of Experimental Psychology: Human Perception and Performance, 16, 332–350.

23.

Raffone

Wolters

(2001). A cortical mechanism for binding in visual working memory. Journal of Cognitive Neuroscience, 13, 766–785.

24.

Rouder

J. N.

Speckman

P. L.

Sun

Morey

R. D.

Iverson

(2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16, 225–237.

25.

Scolari

Vogel

E. K.

Awh

(2008). Perceptual expertise enhances the resolution but not the number of representations in working memory. Psychonomic Bulletin & Review, 15, 215–222.

26.

Shulman

G. L.

Wilson

Sheehy

J. B.

(1985). Spatial determinants of the distribution of attention. Perception & Psychophysics, 37, 59–65.

27.

Sperling

(1960). The information available in brief visual presentations. Psychological Monographs, 74, 1–29.

28.

Treisman

Gormican

(1988). Feature analysis in early vision: Evidence from search asymmetries. Psychological Review, 95, 15–48.

29.

Wang

X. J.

(2001). Synaptic reverberation underlying mnemonic persistent activity. Trends in Cognitive Sciences, 24, 455–463.

30.

Wilken

W. J.

(2004). A detection theory account of change detection. Journal of Vision, 4(12), Article 11. Retrieved from http://www.journalofvision.org/content/4/12/11

31.

Zhang

Luck

S. J.

(2008). Discrete fixed-resolution representations in visual working memory. Nature, 453, 233–235.

32.

Zhang

Luck

S. J.

(2009). Sudden death and gradual decay in visual working memory. Psychological Science, 20, 423–428.

33.

Zhang

Luck

S. J.

(2011). Visual working memory representation in high resolution. Manuscript in preparation.

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