Figure - available from: Journal of the Optical Society of America A
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Chromatically rivalrous Necker cubes: (A) stimulus, and (B–D) percepts. (A) Example of rivalrous Necker cube stimuli. (B) Representation of percept with grouped color and orientation. (C) Representation of percept with grouped color but not orientation. (D) Representation of percept with grouped orientation, but not color.
Source publication
Ambiguity resolution, perceptual grouping, and feature integration all occur seamlessly and subconsciously. When multiple regions of an image share ambiguous features, perceptual grouping can yield an integrated object percept rather than one of multiple objects, each with its individual features. Here, perceptual resolution and grouping of chromat...
Citations
... The results here expand previous research exploring the role of divisive normalization in standard binocular rivalry (Carandini & Heeger, 2012; Moreno-Bote, Rinzel, & Rubin, 2007), selective attention Reynolds & Heeger, 2009), and biased competition models of perception (Desimone & Duncan, 1995;Beck & Kastner, 2009;Peron et al. 2020). These findings also build upon and provide a theoretical foundation for previous work (Peiso & Shevell, 2020). Despite positing divisive normalization as a mechanism supporting biased competition, existing models of binocular rivalry fail to account for all experimental findings. ...
... The framework offered here suggests that the mechanisms underlying the resolution of neural ambiguity in binocular rivalry may not be specialized; rather, they result from common processes that reduce redundancy in the visual signal Shevell, 2020). Consistent with the idea that the visual system employs universal mechanisms to resolve unique instances of neural ambiguity, the divisive normalization model postulates that responses from similarly tuned cells are pooled across the visual field. ...
Our visual system usually provides a unique and functional representation of the external world. At times, however, the visual system has more than one compelling interpretation of the same retinal stimulus; in this case, neural populations compete for perceptual dominance to resolve ambiguity. Spatial and temporal context can guide perceptual experience. Recent evidence shows that ambiguous retinal stimuli are sometimes resolved by enhancing either similarity or differences among multiple percepts. Divisive normalization is a canonical neural computation that enables context-dependent sensory processing by attenuating a neuron's response by other neurons. Experiments here show that divisive normalization can account for perceptual representations of either similarity enhancement (so-called grouping) or difference enhancement, offering a unified framework for opposite perceptual outcomes.
