Computational Neuroscience Approaches in Neuro-Otology

The goal of this Research Topic is to celebrate and continue the rich history of applying computational approaches to improve our understanding of the vestibular system. The vestibular system is located in the inner ear, and includes the semicircular canals, which sense angular rotation, and the otolith organs, which sense linear acceleration and gravity. The vestibular system contributes to the perception of spatial orientation, autonomic regulation and control of motion of the eye and body. Much of our understanding of the vestibular system has been facilitated through the use of computational approaches, and this Research Topic aims to continue this tradition.

Contributions are invited that cover both computational neuroscience studies and the application of advanced computational approaches such as machine learning. This includes studies of health, pathology and aging. Contributions could cover computational models of:
• Vestibular processing for action and behavior (perception, spatial orientation, VOR, VEMPs, navigation, posture, locomotion, autonomic, vehicle control), including closed-loop behavior
• Vestibular learning, adaptation and compensation
• Neural encoding strategies, circuits, population models, and dynamical systems
• Mechanisms of hair cell transduction, tuning, and synaptic transmission
• Electrical and magnetic vestibular stimuli (implants, MRI, GVS)
• Inner ear biomechanics, anatomy, and excitability
• Multisensory integration
• Motion sickness (e.g., due to mal de debarquement or virtual reality)

Contributions could also cover the application of advanced computational approaches (e.g, ML/AI) to the analysis of clinical data, and novel methodologies to study vestibular behaviors using advanced computational approaches.