The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Search Goal Tunes Visual Features Optimally
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Citations
Cites
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
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
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
Self-citationShifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Koch, C., & Ullman, S. (1987) · Matters of Intelligence · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,722
Visual search and stimulus similarity.
Duncan, J., & Humphreys, G. W. (1989) · Psychological Review · doi:10.1037/0033-295x.96.3.433 · Cited by 3,563
Guided Search 2.0 A revised model of visual search
Wolfe, J. M. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03200774 · Cited by 3,504
A saliency-based search mechanism for overt and covert shifts of visual attention
Itti, L., & Koch, C. (2000) · Vision Research · doi:10.1016/s0042-6989(99)00163-7 · Cited by 3,156
Self-citationSelective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
Controlled and automatic human information processing: I
Schneider, W. E., & Shiffrin, R. M. (1977) · Cited by 2,228
Cited by
Neural mechanisms of selective visual attention.
Moore, T., & Zirnsak, M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033400 · Cited by 471
Mechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437
Self-citationAttention during natural vision warps semantic representation across the human brain
Çukur, T., Nishimoto, S., Huth, A. G., & Gallant, J. L. (2013) · Nature Neuroscience · doi:10.1038/nn.3381 · Cited by 351
From salience to saccades: multiple-alternative gated stochastic accumulator model of visual search
Purcell, B. A., Schall, J. D., Logan, G. D., & Palmeri, T. J. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4622-11.2012 · Cited by 179
Neural mechanisms of saccade target selection: gated accumulator model of the visual-motor cascade
Schall, J. D., Purcell, B. A., Heitz, R. P., Logan, G. D., & Palmeri, T. J. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07715.x · Cited by 94
Metadata
- Authors
- Navalpakkam, V., & Itti, L.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 53
- Issue
- 4
- Pages
- 605-617
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2143492062
- Cited by
- 331
- References
- 56
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- Navalpakkam, V., & Itti, L. (2007). Search Goal Tunes Visual Features Optimally. Neuron. https://doi.org/10.1016/j.neuron.2007.01.018
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.
