The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Dynamic Shifts of Limited Working Memory Resources in Human Vision
Open accessAbstract
Our ability to remember what we have seen is very limited. Most current views characterize this limit as a fixed number of items—only four objects—that can be held in visual working memory. We show that visual memory capacity is not fixed by the number of objects, but rather is a limited resource that is shared out dynamically between all items in the visual scene. This resource can be shifted flexibly between objects, with allocation biased by selective attention and toward targets of upcoming eye movements. The proportion of resources allocated to each item determines the precision with which it is remembered, a relation that we show is governed by a simple power law, allowing quantitative estimates of resource distribution in a scene.
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Neural correlations, population coding and computation
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Cited by
The Cognitive Neuroscience of Working Memory
D'Esposito, M., & Postle, B. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015031 · Cited by 1,653
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
Stokes, M. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.004 · Cited by 850
Different states in visual working memory: when it guides attention and when it does not
Olivers, C. N. L., Peters, J., Houtkamp, R., & Roelfsema, P. R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.004 · Cited by 678
A review of visual memory capacity: Beyond individual items and toward structured representations
Brady, T. F., Konkle, T., & Alvarez, G. A. (2011) · Journal of Vision · doi:10.1167/11.5.4 · Cited by 556
Addressing the theory crisis in psychology
Oberauer, K., & Lewandowsky, S. (2019) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01645-2 · Cited by 462
Metadata
- Authors
- Bays, P. M., & Husain, M.
- Venue
- Science
- Published
- 2008-08-08
- Volume
- 321
- Issue
- 5890
- Pages
- 851-854
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2013142139
- Cited by
- 1,117
- References
- 33
- FWCI
- 18.67
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.