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Related Experiment Video

Updated: Jan 7, 2026

Visualizing Visual Adaptation
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Depth perception changes following adaptation to cue-dependent invariants.

Francesca Peveri1, Federico Barban2,3, Andrea Canessa2

  • 1Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, via Opera Pia 11a, 16145, Genoa, Italy. francesca.peveri@edu.unige.it.

Scientific Reports
|December 30, 2025
PubMed
Summary
This summary is machine-generated.

Our perceptual system adapts to new visual invariants through active visuomotor interaction. This action-driven learning recalibrates cue integration, favoring specific visual cues without explicit error feedback.

Keywords:
Active perceptionCue reweightingDepth perceptionPerceptual learningSlant and tiltVisual cue conflict

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Area of Science:

  • * Visual perception and psychophysics
  • * Computational neuroscience
  • * Perceptual learning

Background:

  • * The visual system must adapt to stable 3D object properties despite transformations.
  • * Understanding how the perceptual system adapts to new invariants is crucial for visual processing.
  • * Cue integration mechanisms are key to resolving conflicting sensory information.

Purpose of the Study:

  • * To investigate how the visual system adapts to non-veridical 3D object properties.
  • * To determine if active visuomotor interaction drives adaptation to visual invariants.
  • * To analyze the role of coherent cue manipulation in perceptual learning.

Main Methods:

  • * Two-cue depth stimulation paradigm with conflicting disparity and texture information.
  • * Active visuomotor interaction with a metameric 3D planar surface.
  • * 3D vector-sum model for analyzing cue integration and weighting.

Main Results:

  • * Active manipulation of a 3D surface drives adaptation, altering perceived stereo and texture integration.
  • * Adaptation occurs via action-driven exposure to visual invariants, independent of explicit error feedback.
  • * Dynamic, coherent manipulation of multiple cues is necessary for significant adaptation.

Conclusions:

  • * New precepts emerge from coherent sensory cue manipulation, adapting cue integration to structural invariants.
  • * Active exploration is vital for perceptual learning and adapting to novel environmental statistics.
  • * The visual system dynamically reweights cues based on coherent, action-driven exposure to invariants.