The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Working memory span development: A time-based resource-sharing model account.
Open accessAbstract
The time-based resource-sharing model (P. Barrouillet, S. Bernardin, & V. Camos, 2004) assumes that during complex working memory span tasks, attention is frequently and surreptitiously switched from processing to reactivate decaying memory traces before their complete loss. Three experiments involving children from 5 to 14 years of age investigated the role of this reactivation process in developmental differences in working memory spans. Though preschoolers seem to adopt a serial control without any attempt to refresh stored items when engaged in processing, the reactivation process is efficient from age 7 onward and increases in efficiency until late adolescence, underpinning a sizable part of developmental differences.
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Citations
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Cited by
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
Working Memory Underpins Cognitive Development, Learning, and Education
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Working Memory From the Psychological and Neurosciences Perspectives: A Review
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Modeling working memory: An interference model of complex span
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Metadata
- Authors
- Barrouillet, P., Gavens, N., Vergauwe, E., Gaillard, V., & Camos, V.
- Venue
- Developmental Psychology
- Published
- 2009
- Volume
- 45
- Issue
- 2
- Pages
- 477-490
- ISSN
- 0012-1649 (ISSN-L)
- 1939-0599
- OpenAlex
- W2015998392
- Cited by
- 214
- References
- 10
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- green
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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.