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 accessAbstract
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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Cites
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
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
Buschman, T. J., & Miller, E. K. (2007) · Science · doi:10.1126/science.1138071 · Cited by 2,380
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
Visual attention within and around the field of focal attention: A zoom lens model
Eriksen, C. W., & St. James, J. D. (1986) · Perception & Psychophysics · doi:10.3758/bf03211502 · Cited by 1,907
Electrophysiological measurement of rapid shifts of attention during visual search
Woodman, G. F., & Luck, S. J. (1999) · Nature · doi:10.1038/23698 · Cited by 586
Cited by
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
What is the Bandwidth of Perceptual Experience?
Cohen, M. A., Dennett, D. C., & Kanwisher, N. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.006 · Cited by 419
Human Variation in Overriding Attentional Capture
Fukuda, K., & Vogel, E. K. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2145-09.2009 · Cited by 366
Self-citationClosed-loop training of attention with real-time brain imaging
deBettencourt, M. T., Cohen, J. D., Lee, R. F., Norman, K. A., & Turk-Browne, N. B. (2015) · Nature Neuroscience · doi:10.1038/nn.3940 · Cited by 324
The cognitive neuroscience of visual short-term memory
Postle, B. R. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.08.004 · Cited by 149
Metadata
- Authors
- Drew, T., & Vogel, E. K.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for 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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