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Updated: Sep 11, 2025
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Visualizing Visual Adaptation
Published on: April 24, 2017
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Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception
William Turner1,2, Oh-Sang Kwon3, Minwoo J B Kim4
1Stanford University, Stanford, CA 94305, USA.
Neural Computation
|August 14, 2025
Summary
People sometimes see moving objects jump suddenly, a phenomenon called "position resets." Our research suggests this visual perception quirk arises from the brain prioritizing new sensory data over predictions, revealing adaptive visual processing.
Area of Science:
- Visual perception
- Computational neuroscience
- Bayesian inference
Background:
- A perceptual phenomenon, "position resets," involves observers reporting abrupt jumps in the location of smoothly moving objects.
- The underlying mechanisms of these position resets in human visual perception remain unclear.
Purpose of the Study:
- To explain the phenomenon of position resets within a computational framework.
- To investigate the role of Bayesian estimation and sensory gain control in visual perception.
Main Methods:
- Utilized a recursive Bayesian estimation framework to model visual perception.
- Analyzed position resets as a consequence of transient gain changes in sensory processing.
Main Results:
- Position resets can be understood as the visual system temporarily prioritizing incoming sensory information over prior predictive beliefs.
- This phenomenon highlights the brain's capacity for rapid, adaptive precision weighting in visual perception.
Conclusions:
- Position resets offer insights into the dynamic interplay between sensory evidence and predictive coding in the brain.
- The phenomenon serves as a valuable model for studying the timing and adaptability of sensory gain control mechanisms in human vision.
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