The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays
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Cites
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Guided Search 2.0 A revised model of visual search
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An Introduction to Error Analysis
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Cited by
Object perception as Bayesian inference
Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269
A detection theory account of change detection
Wilken, P., & Ma, W. J. (2004) · Journal of Vision · doi:10.1167/4.12.11 · Cited by 771
Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
Pestilli, F., Carrasco, M., Heeger, D. J., & Gardner, J. L. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.025 · Cited by 190
Signal detection theory, uncertainty, and Poisson-like population codes
Ma, W. J. (2010) · Vision Research · doi:10.1016/j.visres.2010.08.035 · Cited by 60
Rosenholtz, R. (2001) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037//0096-1523.27.4.985 · Cited by 68
Metadata
- Authors
- Eckstein, M. P., Thomas, J. P., Palmer, J., & Shimozaki, S. S.
- Venue
- Perception & Psychophysics
- Published
- 2000-04
- Volume
- 62
- Issue
- 3
- Pages
- 425-451
- ISSN
- 0031-5117 (ISSN-L)
- 1532-5962
- OpenAlex
- W1980303916
- Cited by
- 274
- References
- 43
- FWCI
- 5.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Eckstein, M. P., Thomas, J. P., Palmer, J., & Shimozaki, S. S. (2000). A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays. Perception & Psychophysics. https://doi.org/10.3758/bf03212096
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.
