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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Updated: Jul 10, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cross-Modal Plasticity during Self-Motion Perception.

Rushi Lin1, Fu Zeng1, Qingjun Wang1

  • 1Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, 3663 Zhongshan Road N., Shanghai 200062, China.

Brain Sciences
|November 25, 2023
PubMed
Summary
This summary is machine-generated.

The brain dynamically recalibrates visual and vestibular signals for stable self-motion perception. This review explores long-term and rapid recalibration mechanisms and their neural underpinnings.

Keywords:
cross-modalplasticityself-motionvestibularvisual

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Area of Science:

  • Neuroscience
  • Sensory Perception
  • Multisensory Integration

Background:

  • The brain integrates multisensory information for coherent perception.
  • Continuous calibration of sensory inputs is crucial for adapting to environmental changes.

Purpose of the Study:

  • To review the recalibration processes of visual and vestibular signals during self-motion perception.
  • To elucidate the mechanisms and neural substrates of cross-modal recalibration.

Main Methods:

  • Review of existing literature on visual-vestibular recalibration.
  • Analysis of long-term and rapid recalibration paradigms.
  • Examination of neural substrates in multisensory cortical areas.

Main Results:

  • Identified two types of cross-modal recalibration: long-term and rapid.
  • Observed distinct neuronal recalibration patterns across multisensory cortical areas.
  • Highlighted the complexity and multifactorial nature of multisensory recalibration.

Conclusions:

  • Multisensory recalibration is a complex brain process requiring coordination across cortical areas.
  • Understanding visual-vestibular recalibration can advance theories of cross-modal plasticity.
  • Further research into neural circuits is needed for a generalized theory.