Towards dynamic modeling 20 of visual-vestibular conflict detection

Garzorz, Isabelle T.; MacNeilage, Paul R. (2019): Towards dynamic modeling 20 of visual-vestibular conflict detection. In: Mathematical Modelling in Motor Neuroscience: State of the Art and Translation To the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms, Vol. 248: pp. 277-284

Abstract

Visual-vestibular mismatch is a common occurrence, with causes ranging from vehicular travel, to vestibular dysfunction, to virtual reality displays. Behavioral and physiological consequences of this mismatch include adaptation of reflexive eye movements, oscillopsia, vertigo, and nausea. Despite this significance, we still do not have a good understanding of how the nervous system evaluates visual-vestibular conflict. Here we review research that quantifies perceptual sensitivity to visual-vestibular conflict and factors that mediate this sensitivity, such as noise on visual and vestibular sensory estimates. We emphasize that dynamic modeling methods are necessary to investigate how the nervous system monitors conflict between time-varying visual and vestibular signals, and we present a simple example of a drift-diffusion model for visual-vestibular conflict detection. The model makes predictions for detection of conflict arising from changes in both visual gain and latency. We conclude with discussion of topics for future research.

• Item Type: Journal article
• Faculties: Medicine
• Research Centers: Graduate School of Systemic Neurosciences (GSN)
• Subjects: 600 Technology > 610 Medicine and health; 500 Science > 500 Science
• ISSN: 0079-6123
• Language: English