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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system
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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system
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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system
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Journal Article
Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system
2020
Overview
Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it: persistence (a cause of positive hysteresis), which forces to keep a current percept for longer, and adaptation (a cause of negative hysteresis), which in turn favors the switch to a competing percept early on. In this study, we explore the neural correlates underlying these mechanisms and the hypothesis of their competitive balance, by combining behavioral assessment with fMRI. We used machine learning on the behavioral data to distinguish between positive and negative hysteresis, and discovered a neural correlate of persistence at a core region of the ventral attention network, the anterior insula. Our results add to the understanding of perceptual multistability and reveal a possible mechanistic explanation for the regulation of different forms of perceptual hysteresis.
•Two mechanisms may help explain the hysteresis phenomenon in human visual experience: adaptation and persistence.•We found evidence for a continuous competition between these perceptual history mechanisms, together with a stronger involvement of the anterior insula when persistence dominated.•Our results support the hypothesis of differential brain network recruitment for the two mechanisms and provide further insight into the underlying causes of hysteresis in multistable perception.
Publisher
Elsevier Inc,Elsevier Limited,Elsevier
