Modeling human vestibular responses during eccentric rotation and off vertical axis rotation

Area of Science:

• Neuroscience
• Computational Neuroscience
• Human Sensory Perception

Background:

• Human multisensory interactions are complex, involving the integration of information from various sensory systems.
• Understanding how the nervous system processes and integrates sensory data is crucial for explaining perception and motion.
• Previous models have explained monkey eye movements, but adapting them for human responses requires specific adjustments.

Purpose of the Study:

• To develop and validate a mathematical model explaining human multisensory interactions.
• To investigate the role of an "internal model" of sensory dynamics in self-motion estimation.
• To predict human responses to specific motion stimuli, such as eccentric rotation and off-vertical axis rotation (OVAR).

Main Methods:

• Development of a mathematical model based on a previously published framework for monkey eye movements.
• Adjustment of model variables to predict human responses.
• Comparison of model predictions with experimental measurements of human responses to rotational stimuli.

Main Results:

• The model predicts a slight shift in the eye rotation axis towards gravito-inertial force during eccentric rotation.
• Predicted perception of tilt during acceleration is slower than during deceleration.
• Model accurately predicts horizontal bias and oscillations during OVAR, as well as post-rotatory responses.

Conclusions:

• The developed mathematical model effectively explains human multisensory interactions and self-motion perception.
• The concept of an internal model of sensory dynamics is a key component in integrating multisensory information.
• Model predictions align with empirical human data, validating its utility in neuroscience research.