Proceedings of the Royal Society B Biological SciencesNeurosciencePeer-reviewed journal article
Which perceptual categories do observers experience during multistable perception?
Abstract
Multistable perceptual phenomena provide insights into the minds dynamic states within a stable external environment and the neural underpinnings of these consciousness changes are often studied with binocular rivalry. Conventional methods to study binocular rivalry suffer from biases and assumptions that limit their ability to describe the continuous nature of this perceptual transitions and to discover what kind of percept was perceived across time. In this study, we propose a novel way to avoid those shortcomings by combining a continuous psychophysical method that estimates introspection during binocular rivalry with machine learning clustering and transition probability analysis. This combination of techniques reveals individual variability and complexity of perceptual experience in 28 normally sighted participants. Also, the analysis of transition probabilities between perceptual categories, i.e., exclusive and different kinds of mixed percepts, suggest that interocular perceptual competition, triggered by low-level stimuli, involves conflict between monocular and binocular neural processing sites rather than mutual inhibition of monocular sites. Layman abstractWhen our brain receives ambiguous information about the world, it changes its interpretation between different alternatives and thereby provides insight into how the mind works. Scientists often use a technique called binocular rivalry, where each eye sees a different image, to provoke an ambiguous visual world that is perceived as ongoing competition among interpretations of the two eyes inputs. Traditional methods for studying binocular rivalry struggle to describe the continuous nature of this fluctuation and to estimate the range of different perceived experiences. We have created a new approach in which participants reproduce their ongoing perceptual experiences combined machine learning analyses of these states. We found that individuals visual experience is more varied and complex than previously thought. Our results suggest that when our eyes see conflicting images, the brains effort to make sense of what is seen involves syntheses among both monocular and binocular brain areas, not just competition between monocular areas.
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 10th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Adaptation to transients disrupts spatial coherence in binocular rivalry
Marnix Naber, Sjoerd Stuit, … Chris L. E. Paffen·Scientific ReportsPeer-reviewed·May 26, 2020
- Instability with a purpose: how the visual brain makes decisions in a volatile world
Robin Cao, Alexander Pastukhov, … Jochen Braun·bioRxiv·Jun 9, 2020
- A hierarchical model of perceptual multistability involving interocular grouping
Yunjiao Wang, Zachary P. Kilpatrick, Krešimir Josić́·Journal of Computational NeurosciencePeer-reviewed·Apr 27, 2020
- Hierarchical and fine-scale mechanisms of binocular rivalry for conscious perception
Chencan Qian, Zihao Zhang, … Peng Zhang·Nature Human BehaviourPeer-reviewed·Nov 13, 2025
- Neural evidence of cognitive conflict during binocular rivalry
Alice Albertini Drew, Mireia Torralba Cuello, … Salvador Soto‐Faraco·European Journal of NeurosciencePeer-reviewed·Dec 6, 2021
- A decision-theoretic model of multistability: perceptual switches as internal actions
Shervin Safavi, Peter Dayan·bioRxiv·Dec 6, 2024