September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Computational Mechanisms of Perceptual Traveling Waves
Author Affiliations
  • João Victor XAVIER CARDOSO
    Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, F-75006 Paris, France
  • Hsin-Hung LI
    Department of Psychology, New York University, New York, NY
    Center for Neural Science, New York University, New York, NY
  • David J. HEEGER
    Department of Psychology, New York University, New York, NY
    Center for Neural Science, New York University, New York, NY
  • Laura DUGUÉ
    Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, F-75006 Paris, France
    Institut Universitaire de France (IUF), Paris, France
Journal of Vision September 2024, Vol.24, 834. doi:https://doi.org/10.1167/jov.24.10.834
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      João Victor XAVIER CARDOSO, Hsin-Hung LI, David J. HEEGER, Laura DUGUÉ; Computational Mechanisms of Perceptual Traveling Waves. Journal of Vision 2024;24(10):834. https://doi.org/10.1167/jov.24.10.834.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Binocular rivalry is a perceptual phenomenon in which perception alternates between rival images presented to each eye. Under the right conditions, the dynamics of these alternations form a wave-like pattern starting where one rival image locally becomes the dominant percept. Studies have shown a link between these perceptual traveling waves and waves of brain activity in primary visual cortex (Lee et al., 2005). Here, we replicate and extend previous psychophysics studies of perceptual waves observed in binocular rivalry (e.g., Wilson et al., 2001), and fit a computational model to the behavioral data. A pair of orthogonal gratings, each windowed by an annulus and projected to one eye, were presented to human participants (n=21). Replicating previous results, a local contrast increment in one eye induced perceptual dominance that emerged locally and progressively expanded as it rendered invisible the stimulus presented to the other eye. Participants pressed a key when a perceptual wave reached a target area enabling us to measure propagation speed. We observed (1) slower speeds for more eccentric annuli, commensurate with differences in cortical magnification; (2) slower speed when crossing the vertical meridian, consistent with inter-hemispheric communication; (3) morning participants perceived faster waves than afternoon participants, interpreted as circadian variations in cortical excitability; (4) allocating attention to the annulus was necessary for perceptual waves to be perceived; and (5) rhythmic, local contrast increments induced rhythmic perceptual waves. Finally, we adapted a previously proposed binocular rivalry model (Li, et al. 2017) so it can reproduce both temporal and spatial patterns of perceptual waves. The model could replicate our main findings, along with features reported by other studies, such as changes in propagation speed as a function of attention, input strength and recurrent excitation. Together, our research aims to develop a computational framework for understanding perceptual traveling waves in binocular rivalry.

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