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Cited by 258

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects

Open access
Drew, Trafton, Vogel, Edward K.·2008·The Journal of Neuroscience

Abstract

Attention can be divided so that multiple objects can be tracked simultaneously as they move among distractors. Although attentional tracking is known to be highly limited, such that most individuals can track only approximately four objects simultaneously, the neurophysiological mechanisms that underlie this capacity limitation have not been established. Here, we provide electrophysiological measures in humans of the initial selection and sustained attention processes that facilitate attentional tracking. Each measure was modulated by the number of objects the subject was tracking and was highly sensitive to each individual's specific tracking capacity. Consequently, these measures provide strong neurophysiological predictors of an individual's attentional tracking capacity. Moreover, by manipulating the difficulty of these two phases of the task, we observe that the limiting factor underlying tracking capacity can flexibly shift between these two attentional mechanisms depending on the requirements of the task.

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Crossref · 10.1523/jneurosci.0556-08.2008

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Metadata

Authors
Drew, T., & Vogel, E. K.
Venue
The Journal of Neuroscience
Published
2008-04-16
Volume
28
Issue
16
Pages
4183-4191
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2090794856
Cited by
258
References
5
FWCI
6.82
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects. https://app.cochat.ai/papers/10.1523/jneurosci.0556-08.2008
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Drew, T., & Vogel, E. K. (2008). Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0556-08.2008

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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.