Visual working memory for amplitude-modulated shapes

Journal of Vision

Volumn 12, Issue 6, 2012, Pages

  Salmela, Viljami R ^a   Lähde, Meri ^a   Saarinen, Jussi ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Capacity; Precision; Psychophysics; Radial frequency patterns; Shape perception; Visual working memory

Indexed keywords

ARTICLE; HUMAN; METHODOLOGY; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PERCEPTIVE THRESHOLD; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOPHYSICS; SHORT TERM MEMORY;

DISCRIMINATION (PSYCHOLOGY); FORM PERCEPTION; HUMANS; MEMORY, SHORT-TERM; PHOTIC STIMULATION; PSYCHOPHYSICS; SENSORY THRESHOLDS;

EID: 84866926394     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/12.6.2     Document Type: Article

References (21)

1. Alvarez, G. A., & Cavanagh, P. (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.
2. Anderson, D. E., Vogel, E. K., & Awh, E. (2011). Precision in visual working memory reaches a stable plateau when individual item limits are exceeded. The Journal of Neuroscience, 31, 1128- 1138.
3. 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.
4. Bays, P. M., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321, 851-854.
5. Bays, P. M., & Husain, M. (2009). Response to comment on ''Dynamic shifts of limited working memory resources in human vision.'' Science, 323, 877d.
6. Bays, P. M., Catalao, R. F. G., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9(10):7, 1-11, http://www.journalofvision.org/ content/9/10/7, doi:10.1167/9.10.7.
7. Bell, J., & Badcock, D. R. (2009). Narrow-band radial frequency shape channels revealed by sub-threshold summation. Vision Research, 49, 843-850.
8. Bell, J., Wilkinson, F., Wilson, H. R., Loffler, G., & Badcock, D. R. (2009). Radial frequency adaptation reveals interacting contour shape channels. Vision Research, 49, 2306-2317.
9. Cowan, N., & Rouder, J. N. (2009). Comment on "dynamic shifts of limited working memory resources in human vision." Science, 323, 877.
10. Harrison, S. A., & Tong, F. (2009). Decoding reveals the contents of visual working memory in early visual areas. Nature, 458, 632-635.
11. Huang, L. (2010). Visual working memory is better characterized as a distributed resource rather than discrete slots. Journal of Vision, 10(14):8, http:// www.journalofvision.org/content/10/14/8, doi:10. 1167/10.14.8.
12. Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390, 279-281.
13. Najima, R., Dosher, B., Chu, W., & Lu, Z.-L. (2011). Visual working memory performance with contrast and external noise: A load-dependent perceptual template model account. Journal of Vision, 11(11): 1254, http://www.journalofvision.org/content/11/ 11/1254, doi:10.1167/11.11.1254.
14. Olsson, H., & Poom, L. (2005). Visual memory needs categories. Proceedings of the National Academy of Sciences, 102, 8776-8780. Poirier, F. J., & Wilson, H. R. (2006). A biologically plausible model of human radial frequency perception. Vision Research, 46, 2443-2455.
15. Poirier, F. J., & Wilson, H. R. (2006). A biologically plausible model of human radial frequency perception. Vision Research, 46, 2443-2455.
16. Rouder, J. N., Morey, R. D., Cowan, N., Zwilling, C. E., Morey, C. C., & Pratte, M. S. (2008). An assessment of fixed-capacity models of visual working memory. Proceedings of the National Academy of Sciences USA, 105, 5975-5979.
17. Salmela, V. R., Mäkelä , T., & Saarinen, J. (2010). Human working memory for shapes of radial frequency patterns. Vision Research, 50, 623-629.
18. Watson, A. B., & Pelli, D. G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception & Psychophysics, 33, 113-120.
19. Wilken, P., & Ma, W. J. (2004). A detection theory account of change detection. Journal of Vision, 4(12):11, 1120-1135, http://journalofvision.org/4/ 12/11/, doi:10.1167/4.12.11.
20. Wilkinson, F., Wilson, H. R., & Habak, C. (1998). Detection and recognition of radial frequency patterns. Vision Research, 38, 3555-3568.
21. Zhang, W., & Luck, S. J. (2008). Discrete fixedresolution representations in visual working memory. Nature, 453, 233-235.