Modélisation de l'ambiguïté d'une multi-stabilité visuelle

Kevin Parisot 1 Alan Chauvin 2 Ronald Phlypo 1 Steeve Zozor 3
1 GIPSA-VIBS - VIBS
GIPSA-DIS - Département Images et Signal
3 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
Abstract : Visual multi-stability is a phenomenon whereby perception varies while the stimulus remains stationary in the physical world. The perceptual system is said to oscillate between multiple states called percepts, and the phenomenon can be used to study how perceptual decision making in the brain occurs. High inter-individual variability in observers is a property that motivates the development of adaptive experimental methods. In this paper, we present a method that uses a probabilistic model of the observer in order to implement an adaptive experimental protocol. The model’s parameters are estimated using maximum likelihood and the point of maximal ambiguity of percepts is obtained for each participant.
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https://hal.archives-ouvertes.fr/hal-02325594
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Submitted on : Friday, November 8, 2019 - 10:14:04 AM
Last modification on : Friday, November 15, 2019 - 3:15:08 PM

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  • HAL Id : hal-02325594, version 2

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Kevin Parisot, Alan Chauvin, Ronald Phlypo, Steeve Zozor. Modélisation de l'ambiguïté d'une multi-stabilité visuelle. GRETSI, Aug 2019, Lille, France. ⟨hal-02325594v2⟩

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