How stable is perception in #TheDress and #TheShoe?

Drissi-Daoudi, Leila; Doerig, Adrien; Parkosadze, Khatuna; Kunchulia, Marina; Herzog, Michael H.

doi:10.1016/j.visres.2020.01.007

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…In 2015, two images, hashtagged on social media as #TheDress and #TheShoe, became viral as they depicted individual differences in color perception. In #TheDress image, some people perceived the dress’s color as black and blue, while others perceived it as gold and silver (or gold and white) [ 48 – 50 ]. Similarly, while some perceived the colors of #TheShoe as pink and white, others perceived them as gray and cyan (turquoise) [ 50 ] ( Fig 6A ).…”

Section: Resultsmentioning

confidence: 99%

“…In #TheDress image, some people perceived the dress’s color as black and blue, while others perceived it as gold and silver (or gold and white) [ 48 – 50 ]. Similarly, while some perceived the colors of #TheShoe as pink and white, others perceived them as gray and cyan (turquoise) [ 50 ] ( Fig 6A ). Here we reconstructed these two famous photos, allowing us to examine the model’s parameter space on the predicted colors ( Fig 6B ).…”

Section: Resultsmentioning

confidence: 99%

“…We rather suggest that a weighted combination of the single opponent and the double opponent cells might model individual color perception. Interestingly, a recent work [ 50 ] showed that the perception of these visual imageries remains stable over time, possibly due to "one-shot learning," which allows for the first encounter’s strong influence to determine observers’ perception [ 50 ], [ 68 ]. Thus, suggesting that, once acquired, our color parameters stay constant.…”

Section: Discussionmentioning

confidence: 99%

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Computational modeling of color perception with biologically plausible spiking neural networks

Cohen-Duwek

Slovin²,

Tsur³

2022

PLoS Comput Biol

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Biologically plausible computational modeling of visual perception has the potential to link high-level visual experiences to their underlying neurons’ spiking dynamic. In this work, we propose a neuromorphic (brain-inspired) Spiking Neural Network (SNN)-driven model for the reconstruction of colorful images from retinal inputs. We compared our results to experimentally obtained V1 neuronal activity maps in a macaque monkey using voltage-sensitive dye imaging and used the model to demonstrate and critically explore color constancy, color assimilation, and ambiguous color perception. Our parametric implementation allows critical evaluation of visual phenomena in a single biologically plausible computational framework. It uses a parametrized combination of high and low pass image filtering and SNN-based filling-in Poisson processes to provide adequate color image perception while accounting for differences in individual perception.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Computational modeling of color perception with biologically plausible spiking neural networks

Cohen-Duwek

Slovin²,

Tsur³

2022

PLoS Comput Biol

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“…Recently, some articles have demonstrated many similarities between the shoe and the dress. In both cases, perception is pretty stable and has a bimodal distribution, and in both cases, one-shot learning is present (Drissi-Daoudi et al., 2020). Thereby, we expected to find high correlation between both perceptions.…”

Section: Discussionmentioning

confidence: 99%

Influence of Main Ocular Variables in #TheDress Perception: An Ophthalmic Survey

et al. 2021

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The objective of this study is to study the influence of ocular variables in the perception of #thedress and to develop a logistic regression model that could help predict it. This is a cross-sectional study on 1,100 subjects. People who did not report one of the two main perceptions were excluded from the study. Dress perception was codified as 0 (white&gold) or 1 (black&blue). The association between dress perception and demographic and main ocular variables (age, gender, binocular visual acuity, grade of nuclear cataract, crystalline lens status [phakic/pseudophakic], spherical equivalent, and ocular health status) was tested using logistic regression. Receiver operation curves were used to test the predictive value of the model. Several variables were found to be related with dress perception. The best model included three variables—Age: adjusted odds ratio (OR) = 1.02 (1.01–1.03), p = 0.08; ocular refraction: adjusted OR = 1.07 (1.02–1.12), p = 0.009; and nuclear cataract grade: adjusted OR = 1.45 (1.05–1.99), p = 0.026. The predictive value of the model was low (area under the curve = 0.62). Older age, nuclear cataract grade, and hyperopia were associated with black&blue perception. The predictive capacity of the developed model was poor. Only a small proportion of the variability in the #thedress perception can be explained by ocular examination.

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Explaining individual differences

Ward

2023

Studies in History and Philosophy of Science

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How stable is perception in #TheDress and #TheShoe?

Cited by 7 publications

References 21 publications

Computational modeling of color perception with biologically plausible spiking neural networks

Computational modeling of color perception with biologically plausible spiking neural networks

Influence of Main Ocular Variables in #TheDress Perception: An Ophthalmic Survey

Explaining individual differences

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