Literature DB >> 19271876

The Mixture of Bernoulli Experts: a theory to quantify reliance on cues in dichotomous perceptual decisions.

Benjamin T Backus1.   

Abstract

The appearances of perceptually bistable stimuli can by definition be reported with confidence, so these stimuli may be useful to investigate how visual cues are learned and combined to construct visual appearance. However, interpreting experimental data (percent of trials seen one way or the other) requires a theoretically motivated measure of cue effectiveness. Here we describe a simple Bayesian theory for dichotomous perceptual decisions: the Mixture of Bernoulli Experts or MBE. In this theory, a cue's subjective reliability is the product of a weight and an estimate of the cue's ecological validity. The theory (1) justifies the use of probit analysis to measure the system's reliance on a cue and (2) enables hypothesis testing. To illustrate, we used apparent 3D rotation direction in perceptually ambiguous Necker cube movies to test whether the visual system relied on a newly recruited cue (position of the stimulus within the visual field) to the same extent when a long-trusted cue (binocular disparity) was present or not present in the display. For six trainees, reliance on the newly recruited cue was similar whether or not the long-trusted cue was present, suggesting that the visual system assumed the new cue to be conditionally independent.

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Year:  2009        PMID: 19271876      PMCID: PMC2757636          DOI: 10.1167/9.1.6

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  35 in total

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3.  Interaction of visual prior constraints.

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Journal:  J Neurosci       Date:  2001-07-01       Impact factor: 6.167

Review 5.  Object perception as Bayesian inference.

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6.  Conjoint measurement of gloss and surface texture.

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Review 7.  Bayesian color constancy.

Authors:  D H Brainard; W T Freeman
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1997-07       Impact factor: 2.129

8.  Multistability in perception.

Authors:  F Attneave
Journal:  Sci Am       Date:  1971-12       Impact factor: 2.142

9.  Integration of depth modules: stereopsis and texture.

Authors:  E B Johnston; B G Cumming; A J Parker
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Review 10.  Measurement and modeling of depth cue combination: in defense of weak fusion.

Authors:  M S Landy; L T Maloney; E B Johnston; M Young
Journal:  Vision Res       Date:  1995-02       Impact factor: 1.886

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  14 in total

1.  Rotating columns: relating structure-from-motion, accretion/deletion, and figure/ground.

Authors:  Vicky Froyen; Jacob Feldman; Manish Singh
Journal:  J Vis       Date:  2013-08-14       Impact factor: 2.240

2.  The human visual system's assumption that light comes from above is weak.

Authors:  Yaniv Morgenstern; Richard F Murray; Laurence R Harris
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-11       Impact factor: 11.205

3.  Generalization of cue recruitment to non-moving stimuli: location and surface-texture contingent biases for 3-D shape perception.

Authors:  Anshul Jain; Benjamin T Backus
Journal:  Vision Res       Date:  2013-02-22       Impact factor: 1.886

4.  A trained perceptual bias that lasts for weeks.

Authors:  Sarah J Harrison; Benjamin T Backus
Journal:  Vision Res       Date:  2014-03-13       Impact factor: 1.886

5.  Experience affects the use of ego-motion signals during 3D shape perception.

Authors:  Anshul Jain; Benjamin T Backus
Journal:  J Vis       Date:  2010-12-29       Impact factor: 2.240

6.  Disambiguating Necker cube rotation using a location cue: what types of spatial location signal can the visual system learn?

Authors:  Sarah Harrison; Benjamin Backus
Journal:  J Vis       Date:  2010-06-01       Impact factor: 2.240

7.  Learning to use an invisible visual signal for perception.

Authors:  Massimiliano Di Luca; Marc O Ernst; Benjamin T Backus
Journal:  Curr Biol       Date:  2010-10-07       Impact factor: 10.834

8.  Uninformative visual experience establishes long term perceptual bias.

Authors:  S J Harrison; B T Backus
Journal:  Vision Res       Date:  2010-06-25       Impact factor: 1.886

9.  Absence of cue-recruitment for extrinsic signals: sounds, spots, and swirling dots fail to influence perceived 3D rotation direction after training.

Authors:  Anshul Jain; Stuart Fuller; Benjamin T Backus
Journal:  PLoS One       Date:  2010-10-08       Impact factor: 3.240

10.  Early dynamics of stereoscopic surface slant perception.

Authors:  Baptiste Caziot; Benjamin T Backus; Esther Lin
Journal:  J Vis       Date:  2017-12-01       Impact factor: 2.240

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