The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Attentional Modulation of Object Representations in Working Memory
Open accessAbstract
We investigated the role of object-based attention in modulating the maintenance of faces and scenes held online in working memory (WM). Participants had to remember a face and a scene, while cues presented during the delay instructed them to orient their attention to one or the other item. Event-related functional magnetic resonance imaging revealed that orienting attention in WM modulated the activity in fusiform and parahippocampal gyri, involved in maintaining representations of faces and scenes respectively. Measures from complementary behavioral studies indicated that this increase in activity corresponded to improved WM performance. The results show that directed attention can modulate maintenance of specific representations in WM, and help define the interplay between the domains of attention and WM.
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Cites
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BackgroundMethodA cortical network for directed attention and unilateral neglect
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Cited by
Top-down modulation: bridging selective attention and working memory
Gazzaley, A., & Nobre, A. C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.014 · Cited by 1,404
Top-down Enhancement and Suppression of the Magnitude and Speed of Neural Activity
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In search of the focus of attention in working memory: 13 years of the retro-cue effect
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Cueing attention after the stimulus is gone can retrospectively trigger conscious perception
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Metadata
- Authors
- Lepsien, J., & Nobre, A. C.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11-10
- Volume
- 17
- Issue
- 9
- Pages
- 2072-2083
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2131998780
- Cited by
- 234
- References
- 16
- FWCI
- 4.15
- 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.
