The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Do the contents of visual working memory automatically influence attentional selection during visual search?
Open accessAbstract
In many theories of cognition, researchers propose that working memory and perception operate interactively. For example, in previous studies researchers have suggested that sensory inputs matching the contents of working memory will have an automatic advantage in the competition for processing resources. The authors tested this hypothesis by requiring observers to perform a visual search task while concurrently maintaining object representations in visual working memory. The hypothesis that working memory activation produces a simple but uncontrollable bias signal leads to the prediction that items matching the contents of working memory will automatically capture attention. However, no evidence for automatic attentional capture was obtained; instead, the participants avoided attending to these items. Thus, the contents of working memory can be used in a flexible manner for facilitation or inhibition of processing.
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Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
The capacity of visual working memory for features and conjunctions
Luck, S. J., & Vogel, E. K. (1997) · Nature · doi:10.1038/36846 · Cited by 4,071
Self-citationVisual search and stimulus similarity.
Duncan, J., & Humphreys, G. W. (1989) · Psychological Review · doi:10.1037/0033-295x.96.3.433 · Cited by 3,563
Guided Search 2.0 A revised model of visual search
Wolfe, J. M. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03200774 · Cited by 3,504
Costs of a predictible switch between simple cognitive tasks.
Rogers, R. D., & Monsell, S. (1995) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.124.2.207 · Cited by 3,170
Involuntary covert orienting is contingent on attentional control settings
Folk, C. L., Remington, R. W., & Johnston, J. C. (1992) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.18.4.1030 · Cited by 2,487
Bergum, B. O., Long, J., & Baddeley, A. (1982) · The American Journal of Psychology · doi:10.2307/1422199 · Cited by 2,226
Guided search: An alternative to the feature integration model for visual search.
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.419 · Cited by 2,147
Bundesen, C. (1990) · Psychological Review · doi:10.1037//0033-295x.97.4.523 · Cited by 1,704
Cited by
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
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
Olivers, C. N. L., Meijer, F., & Theeuwes, J. (2006) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.32.5.1243 · Cited by 572
A new look at novelty effects: guiding search away from old distractors
Yang, H., Chen, X., & Zelinsky, G. J. (2009) · Attention, Perception & Psychophysics · doi:10.3758/app.71.3.554 · Cited by 30
Metadata
- Authors
- Woodman, G. F., & Luck, S. J.
- Venue
- Journal of Experimental Psychology: Human Perception and Performance
- Published
- 2007
- Volume
- 33
- Issue
- 2
- Pages
- 363-377
- ISSN
- 0096-1523 (ISSN-L)
- 1939-1277
- OpenAlex
- W2002561141
- Cited by
- 381
- References
- 47
- FWCI
- 7.89
- Type
- journal article
- Language
- en
- Open access
- green
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