Skip to main content
Journal cover image

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.
Journal cover image

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