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Related Experiment Video

Updated: Jan 23, 2026

Assessment of Spatial Lingual Tactile Sensitivity using a Gratings Orientation Test

Assessment of Spatial Lingual Tactile Sensitivity using a Gratings Orientation Test

Published on: September 17, 2021

Mathematical models for dynamic, multisensory spatial orientation perception.

Torin K Clark¹, Michael C Newman², Faisal Karmali³

¹Smead Aerospace Engineering Sciences, University of Colorado-Boulder, Boulder, CO, United States.

Progress in Brain Research

|June 27, 2019

Summary

This summary is machine-generated.

Mathematical models help explain how the brain integrates visual, vestibular, and somatosensory cues for spatial orientation perception. These observer models use estimation theory to predict self-motion and orientation, aiding research and applications like pilot disorientation.

Keywords:

Computational Internal models Sensory conflict Vestibular Visual-vestibular integration

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Last Updated: Jan 23, 2026

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Area of Science:

Neuroscience
Computational Neuroscience
Sensory Perception

Background:

Spatial orientation perception relies on integrating multisensory information (visual, vestibular, somatosensory).
Mathematical models are crucial for understanding how the brain processes these cues to estimate self-orientation and motion.

Purpose of the Study:

To review progress in mathematical modeling of spatial orientation perception.
To focus on dynamic multisensory models and their validation through experimental paradigms.

Main Methods:

Review of "black box" or "as if" mathematical models.
Focus on observer models implementing estimation theory.
Hypothesizing internal models to generate expected sensory measurements for comparison with actual afference.

Main Results:

Observer models effectively predict spatial orientation perception across various experimental scenarios.
These models utilize a small set of fixed free parameters.
The approach quantifies sensory conflict and its role in perceptions of gravity, angular velocity, and translation.

Conclusions:

Mathematical models, particularly observer models, provide a robust framework for studying spatial orientation perception.
These models have both scientific utility in generating testable hypotheses and operational value in applied fields.
Future work should address limitations and expand applications of these dynamic multisensory models.