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Serial and parallel processing of visual feature conjunctions
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Citations
Cited by
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
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
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
Robertson, C. E., & Baron-Cohen, S. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.112 · Cited by 1,157
What Can 1 Million Trials Tell Us About Visual Search?
Wolfe, J. M. (1998) · Psychological Science · doi:10.1111/1467-9280.00006 · Cited by 717
Metadata
- Authors
- Nakayama, K., & Silverman, G. H.
- Venue
- Nature
- Published
- 1986-03
- Volume
- 320
- Issue
- 6059
- Pages
- 264-265
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1973232917
- Cited by
- 863
- References
- 0
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Serial and parallel processing of visual feature conjunctions. https://app.cochat.ai/papers/10.1038/320264a0
- The paper
- Nakayama, K., & Silverman, G. H. (1986). Serial and parallel processing of visual feature conjunctions. Nature. https://doi.org/10.1038/320264a0
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.