Comparison of Bayesian and empirical ranking approaches to visual perception.
Publication
, Journal Article
Howe, CQ; Beau Lotto, R; Purves, D
Published in: Journal of theoretical biology
August 2006
Much current vision research is predicated on the idea--and a rapidly growing body of evidence--that visual percepts are generated according to the empirical significance of light stimuli rather than their physical characteristics. As a result, an increasing number of investigators have asked how visual perception can be rationalized in these terms. Here, we compare two different theoretical frameworks for predicting what observers actually see in response to visual stimuli: Bayesian decision theory and empirical ranking theory. Deciding which of these approaches has greater merit is likely to determine how the statistical operations that apparently underlie visual perception are eventually understood.
Duke Scholars
Published In
Journal of theoretical biology
DOI
EISSN
1095-8541
ISSN
0022-5193
Publication Date
August 2006
Volume
241
Issue
4
Start / End Page
866 / 875
Related Subject Headings
- Visual Perception
- Retina
- Psychophysics
- Photic Stimulation
- Optical Illusions
- Models, Psychological
- Lighting
- Humans
- Evolutionary Biology
- Bayes Theorem
Citation
APA
Chicago
ICMJE
MLA
NLM
Howe, C. Q., Beau Lotto, R., & Purves, D. (2006). Comparison of Bayesian and empirical ranking approaches to visual perception. Journal of Theoretical Biology, 241(4), 866–875. https://doi.org/10.1016/j.jtbi.2006.01.017
Howe, Catherine Q., R. Beau Lotto, and Dale Purves. “Comparison of Bayesian and empirical ranking approaches to visual perception.” Journal of Theoretical Biology 241, no. 4 (August 2006): 866–75. https://doi.org/10.1016/j.jtbi.2006.01.017.
Howe CQ, Beau Lotto R, Purves D. Comparison of Bayesian and empirical ranking approaches to visual perception. Journal of theoretical biology. 2006 Aug;241(4):866–75.
Howe, Catherine Q., et al. “Comparison of Bayesian and empirical ranking approaches to visual perception.” Journal of Theoretical Biology, vol. 241, no. 4, Aug. 2006, pp. 866–75. Epmc, doi:10.1016/j.jtbi.2006.01.017.
Howe CQ, Beau Lotto R, Purves D. Comparison of Bayesian and empirical ranking approaches to visual perception. Journal of theoretical biology. 2006 Aug;241(4):866–875.
Published In
Journal of theoretical biology
DOI
EISSN
1095-8541
ISSN
0022-5193
Publication Date
August 2006
Volume
241
Issue
4
Start / End Page
866 / 875
Related Subject Headings
- Visual Perception
- Retina
- Psychophysics
- Photic Stimulation
- Optical Illusions
- Models, Psychological
- Lighting
- Humans
- Evolutionary Biology
- Bayes Theorem