The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Visual working memory capacity: from psychophysics and neurobiology to individual differences
Open accessAbstract
Visual working memory capacity is of great interest because it is strongly correlated with overall cognitive ability, can be understood at the level of neural circuits, and is easily measured. Recent studies have shown that capacity influences tasks ranging from saccade targeting to analogical reasoning. A debate has arisen over whether capacity is constrained by a limited number of discrete representations or by an infinitely divisible resource, but the empirical evidence and neural network models currently favor a discrete item limit. Capacity differs markedly across individuals and groups, and recent research indicates that some of these differences reflect true differences in storage capacity whereas others reflect variations in the ability to use memory capacity efficiently.
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Cites
Working memory, short-term memory, and general fluid intelligence: A latent-variable approach.
Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. A. (1999) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.128.3.309 · Cited by 3,078
Prefrontal cortex and basal ganglia control access to working memory
McNab, F., & Klingberg, T. (2008) · Nature Neuroscience · doi:10.1038/nn2024 · Cited by 989
A Neural Mechanism for Working and Recognition Memory in Inferior Temporal Cortex
Miller, E. K., Li, L., & Desimone, R. (1991) · Science · doi:10.1126/science.1962197 · Cited by 706
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
How to measure working memory capacity in the change detection paradigm
Rouder, J. N., Morey, R. D., Morey, C. C., & Cowan, N. (2011) · Psychonomic Bulletin & Review · doi:10.3758/s13423-011-0055-3 · Cited by 334
Wei, Z., Wang, X.-J., & Wang, D.-H. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0735-12.2012 · Cited by 163
Failure of Schizophrenia Patients to Overcome Salient Distractors During Working Memory Encoding
Hahn, B., Robinson, B. M., Kaiser, S. T., Harvey, A. N., Beck, V. M., Leonard, C. J., Kappenman, E. S., Luck, S. J., & Gold, J. M. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.04.014 · Cited by 88
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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
A neuromarker of sustained attention from whole-brain functional connectivity
Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4179 · Cited by 1,014
The Distributed Nature of Working Memory
Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.007 · Cited by 882
The human imagination: the cognitive neuroscience of visual mental imagery
Pearson, J. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0202-9 · Cited by 820
Roux, F., & Uhlhaas, P. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.10.010 · Cited by 871
Metadata
- Authors
- Luck, S. J., & Vogel, E. K.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 17
- Issue
- 8
- Pages
- 391-400
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2063186886
- Cited by
- 1,102
- References
- 7
- FWCI
- 4.48
- 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.
