The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Surfaces versus features in visual search
Overview
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Citations
Cites
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
On the perception of shape from shading
Kleffner, D. A., & Ramachandran, V. S. (1992) · Perception & Psychophysics · doi:10.3758/bf03206757 · Cited by 335
Cited by
What attributes guide the deployment of visual attention and how do they do it?
Wolfe, J. M., & Horowitz, T. S. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1411 · Cited by 1,766
Hochstein (2002) · doi:10.1016/s0896-6273(02)01091-7 · Cited by 1,397
Why visual attention and awareness are different
Lamme, V. A. F. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)00013-x · Cited by 1,172
Saliency, attention, and visual search: An information theoretic approach
Bruce, N. D. B., & Tsotsos, J. K. (2009) · Journal of Vision · doi:10.1167/9.3.5 · Cited by 855
Feature binding, attention and object perception
Treisman, A. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0284 · Cited by 754
A selective review of selective attention research from the past century
Driver, J. (2001) · British Journal of Psychology · doi:10.1348/000712601162103 · Cited by 658
Grossberg, S. (2017) · Neural Networks · doi:10.1016/j.neunet.2016.11.003 · Cited by 120
Metadata
- Authors
- He, Z. J., & Nakayama, K.
- Venue
- Nature
- Published
- 1992-09
- Volume
- 359
- Issue
- 6392
- Pages
- 231-233
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2011973513
- Cited by
- 304
- References
- 2
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
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.