The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Tracking an object through feature space
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Citations
Cites
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · cited 1×
“This ability to track through feature space bears directly on competing theories of attention, that is, on whether attention can select locations in spac”
BackgroundThe capacity of visual working memory for features and conjunctions
Luck, S. J., & Vogel, E. K. (1997) · Nature · doi:10.1038/36846 · Cited by 4,071
The reviewing of object files: Object-specific integration of information
Kahneman, D., Treisman, A., & Gibbs, B. J. (1992) · Cognitive Psychology · doi:10.1016/0010-0285(92)90007-o · Cited by 2,218
Guided search: An alternative to the feature integration model for visual search.
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.419 · Cited by 2,147
Selective attention and the organization of visual information.
Duncan, J. (1984) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.113.4.501 · Cited by 1,990
Tracking multiple independent targets: Evidence for a parallel tracking mechanism*
Pylyshyn, Z. W., & Storm, R. W. (1988) · Spatial Vision · doi:10.1163/156856888x00122 · Cited by 1,906
Self-citationAttentional resolution and the locus of visual awareness
He, S., Cavanagh, P., & Intriligator, J. (1996) · Nature · doi:10.1038/383334a0 · Cited by 976
Attentional Modulation of Neural Processing of Shape, Color, and Velocity in Humans
Corbetta, M., Miezin, F. M., Dobmeyer, S., Shulman, G. L., & Petersen, S. E. (1990) · Science · doi:10.1126/science.2360050 · Cited by 868
fMRI evidence for objects as the units of attentional selection
O'Craven, K. M., Downing, P. E., & Kanwisher, N. (1999) · Nature · doi:10.1038/44134 · Cited by 846
Selective looking: Attending to visually specified events
Neisser, U., & Becklen, R. (1975) · Cognitive Psychology · doi:10.1016/0010-0285(75)90019-5 · Cited by 784
Cited by
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Seeing, Doing, and Knowing: A Philosophical Theory of Sense Perception
Matthen, M. (2005) · doi:10.1093/0199268509.001.0001 · Cited by 333
Incremental grouping of image elements in vision
Roelfsema, P. R., & Houtkamp, R. (2011) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-011-0200-0 · Cited by 112
Metadata
- Authors
- Blaser, E., Pylyshyn, Z. W., & Holcombe, A. O.
- Venue
- Nature
- Published
- 2000-11
- Volume
- 408
- Issue
- 6809
- Pages
- 196-199
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1649838923
- Cited by
- 296
- References
- 28
- FWCI
- 3.85
- 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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How to cite
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- CoChat. (2026). Citation check: Tracking an object through feature space. https://app.cochat.ai/papers/10.1038/35041567
- The paper
- Blaser, E., Pylyshyn, Z. W., & Holcombe, A. O. (2000). Tracking an object through feature space. Nature. https://doi.org/10.1038/35041567
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.
