Numerical simulation of human orientation perception during lunar landing

Clark, Torin K.; Young, Laurence R.; Stimpson, Alexander J.; Duda, Kevin R.; Oman, Charles M.

doi:10.1016/j.actaastro.2011.04.016

Cited by 8 publications

(1 citation statement)

References 21 publications

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“…Here, we leverage the well-validated observer model for vestibular processing and spatial orientation perception (Merfeld et al, 1993a;Clark et al, 2019) as the basis of our computational model for adaptation to gravity transitions. While the observer model has been used to predict orientation perception in altered gravity environments (Clark et al, 2011(Clark et al, , 2015cVincent et al, 2016;Clark and Young, 2017), here we extend this base model to consider adaptation to gravity transitions. Specifically, multiple observer models are processed in parallel, each with a different alternative hypothesis for the internally estimated magnitude of gravity.…”

Section: Background and Existing Workmentioning

confidence: 99%

COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States

Kravets

Dixon

Ahmed

et al. 2021

Front. Neural Circuits

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Reliable perception of self-motion and orientation requires the central nervous system (CNS) to adapt to changing environments, stimuli, and sensory organ function. The proposed computations required of neural systems for this adaptation process remain conceptual, limiting our understanding and ability to quantitatively predict adaptation and mitigate any resulting impairment prior to completing adaptation. Here, we have implemented a computational model of the internal calculations involved in the orientation perception system’s adaptation to changes in the magnitude of gravity. In summary, we propose that the CNS considers parallel, alternative hypotheses of the parameter of interest (in this case, the CNS’s internal estimate of the magnitude of gravity) and uses the associated sensory conflict signals (i.e., difference between sensory measurements and the expectation of them) to sequentially update the posterior probability of each hypothesis using Bayes rule. Over time, an updated central estimate of the internal magnitude of gravity emerges from the posterior probability distribution, which is then used to process sensory information and produce perceptions of self-motion and orientation. We have implemented these hypotheses in a computational model and performed various simulations to demonstrate quantitative model predictions of adaptation of the orientation perception system to changes in the magnitude of gravity, similar to those experienced by astronauts during space exploration missions. These model predictions serve as quantitative hypotheses to inspire future experimental assessments.

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