The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Bayesian models of object perception
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Citations
Cites
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Portilla, J., & Simoncelli, E. P. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026553619983 · Cited by 1,806
Motion illusions as optimal percepts
Weiss, Y., Simoncelli, E. P., & Adelson, E. H. (2002) · Nature Neuroscience · doi:10.1038/nn0602-858 · Cited by 1,076
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929
Shape perception reduces activity in human primary visual cortex
Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.192579399 · Cited by 496 · cited 3×
“Experimental support for this possibility comes from recent functional magnetic resonance imaging (fMRI) data [52 ].”
BackgroundMethodSelf-citationBayesian decision theory and psychophysics
Yuille, A. L., & Bülthoff, H. H. (1996) · Perception as Bayesian Inference · doi:10.1017/cbo9780511984037.006 · Cited by 250 · cited 3×
“It has been argued [38] that strong coupling of visual cues [40] is required to model a range of visual phenomena [48].”
BackgroundSelf-citationBayesian Modelling of Visual Perception
Mamassian, P., Landy, M., & Maloney, L. T. (2002) · Probabilistic Models of the Brain · doi:10.7551/mitpress/5583.003.0005 · Cited by 210
Lee, T. S., Yang, C. F., Romero, R. D., & Mumford, D. (2002) · Nature Neuroscience · doi:10.1038/nn0602-860 · Cited by 205
Cited by
Merging the senses into a robust percept
Ernst, M. O., & Bülthoff, H. H. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.002 · Cited by 1,906
Torralba, A., Oliva, A., Castelhano, M. S., & Henderson, J. M. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.766 · Cited by 1,639
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
Self-citationWhen the world becomes ‘too real’: a Bayesian explanation of autistic perception
Pellicano, E., & Burr, D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.009 · Cited by 1,156
Representing multiple objects as an ensemble enhances visual cognition
Alvarez, G. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.01.003 · Cited by 586
Metadata
- Authors
- Kersten, D., & Yuille, A.
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 13
- Issue
- 2
- Pages
- 150-158
- ISSN
- 0959-4388 (ISSN-L)
- OpenAlex
- W2041240878
- Cited by
- 307
- References
- 10
- FWCI
- 1.82
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Bayesian models of object perception. https://app.cochat.ai/papers/10.1016/s0959-4388(03)00042-4
- The paper
- Kersten, D., & Yuille, A. (2003). Bayesian models of object perception. Current Opinion in Neurobiology. https://doi.org/10.1016/s0959-4388(03)00042-4
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.
