The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Bayesian adaptive estimation of psychometric slope and threshold
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Jacobs, K. (1992) · Discrete Stochastics · doi:10.1007/978-3-0348-8645-1_7 · Cited by 2,918
Quest: A Bayesian adaptive psychometric method
Watson, A. B., & Pelli, D. G. (1983) · Perception & Psychophysics · doi:10.3758/bf03202828 · Cited by 2,410
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Uncertainty explains many aspects of visual contrast detection and discrimination
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Adaptive psychophysical procedures
Treutwein, B. (1995) · Vision Research · doi:10.1016/0042-6989(95)00016-s · Cited by 648
Cited by
Peters, R. M., Hackeman, E., & Goldreich, D. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3684-09.2009 · Cited by 231
Wang, Z., & Simoncelli, E. P. (2008) · Journal of Vision · doi:10.1167/8.12.8 · Cited by 138
Humans incorporate attention-dependent uncertainty into perceptual decisions and confidence
Denison, R. N., Adler, W. T., Carrasco, M., & Ma, W. J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1717720115 · Cited by 122
Prior object-knowledge sharpens properties of early visual feature-detectors
Teufel, C., Dakin, S. C., & Fletcher, P. C. (2018) · Scientific Reports · doi:10.1038/s41598-018-28845-5 · Cited by 119
Psychophysical evaluation for visual prosthesis
Dagnelie, G. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160529 · Cited by 82
Metadata
- Authors
- Kontsevich, L. L., & Tyler, C. W.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1999-08
- Volume
- 39
- Issue
- 16
- Pages
- 2729-2737
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W1987227582
- Cited by
- 668
- References
- 22
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kontsevich, L. L., & Tyler, C. W. (1999). Bayesian adaptive estimation of psychometric slope and threshold. Vision Research. https://doi.org/10.1016/s0042-6989(98)00285-5
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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.