Motor Signals Mediate Stationarity Perception

Author:

Halow Savannah12ORCID,Liu James2ORCID,Folmer Eelke2ORCID,MacNeilage Paul R.1ORCID

Affiliation:

1. https://dx.doi.org/6851University of Nevada, Reno, Department of Psychology, Reno, NV 89557, USA

2. https://dx.doi.org/6851University of Nevada, Reno, Department of Computer Science and Engineering, Reno, NV 89557, USA

Abstract

Abstract Head movement relative to the stationary environment gives rise to congruent vestibular and visual optic-flow signals. The resulting perception of a stationary visual environment, referred to herein as stationarity perception, depends on mechanisms that compare visual and vestibular signals to evaluate their congruence. Here we investigate the functioning of these mechanisms and their dependence on fixation behavior as well as on the active versus passive nature of the head movement. Stationarity perception was measured by modifying the gain on visual motion relative to head movement on individual trials and asking subjects to report whether the gain was too low or too high. Fitting a psychometric function to the data yields two key parameters of performance. The mean is a measure of accuracy, and the standard deviation is a measure of precision. Experiments were conducted using a head-mounted display with fixation behavior monitored by an embedded eye tracker. During active conditions, subjects rotated their heads in yaw ∼15 deg/s over ∼1 s. Each subject’s movements were recorded and played back via rotating chair during the passive condition. During head-fixed and scene-fixed fixation the fixation target moved with the head or scene, respectively. Both precision and accuracy were better during active than passive head movement, likely due to increased precision on the head movement estimate arising from motor prediction and neck proprioception. Performance was also better during scene-fixed than head-fixed fixation, perhaps due to decreased velocity of retinal image motion and increased precision on the retinal image motion estimate. These results reveal how the nature of head and eye movements mediate encoding, processing, and comparison of relevant sensory and motor signals.

Funder

National Institutes of Health

Publisher

Brill

Subject

Cognitive Neuroscience,Computer Vision and Pattern Recognition,Sensory Systems,Ophthalmology,Experimental and Cognitive Psychology

Reference44 articles.

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