The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Feature-selective attention enhances color signals in early visual areas of the human brain
Open accessAbstract
We used an electrophysiological measure of selective stimulus processing (the steady-state visual evoked potential, SSVEP) to investigate feature-specific attention to color cues. Subjects viewed a display consisting of spatially intermingled red and blue dots that continually shifted their positions at random. The red and blue dots flickered at different frequencies and thereby elicited distinguishable SSVEP signals in the visual cortex. Paying attention selectively to either the red or blue dot population produced an enhanced amplitude of its frequency-tagged SSVEP, which was localized by source modeling to early levels of the visual cortex. A control experiment showed that this selection was based on color rather than flicker frequency cues. This signal amplification of attended color items provides an empirical basis for the rapid identification of feature conjunctions during visual search, as proposed by “guided search” models.
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Cited by
The steady-state visual evoked potential in vision research: A review
Norcia, A. M., Appelbaum, L. G., Ales, J. M., Cottereau, B. R., & Rossion, B. (2015) · Journal of Vision · doi:10.1167/15.6.4 · Cited by 1,234
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A Survey of Stimulation Methods Used in SSVEP-Based BCIs
Zhu, D., Bieger, J., Garcia Molina, G., & Aarts, R. M. (2010) · Computational Intelligence and Neuroscience · doi:10.1155/2010/702357 · Cited by 654
Neural Mechanisms of Object-Based Attention
Baldauf, D., & Desimone, R. (2014) · Science · doi:10.1126/science.1247003 · Cited by 536
Brain-Computer Interfaces Based on Visual Evoked Potentials
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Metadata
- Authors
- Müller, M. M., Andersen, S., Trujillo, N. J., Valdés-Sosa, P., Malinowski, P., & Hillyard, S. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-09-19
- Volume
- 103
- Issue
- 38
- Pages
- 14250-14254
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2157491347
- Cited by
- 294
- References
- 35
- FWCI
- 2.92
- 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).
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