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COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States
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 abil...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553968/ https://www.ncbi.nlm.nih.gov/pubmed/34720889 http://dx.doi.org/10.3389/fncir.2021.757817 |
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author | Kravets, Victoria G. Dixon, Jordan B. Ahmed, Nisar R. Clark, Torin K. |
author_facet | Kravets, Victoria G. Dixon, Jordan B. Ahmed, Nisar R. Clark, Torin K. |
author_sort | Kravets, Victoria G. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8553968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85539682021-10-30 COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States Kravets, Victoria G. Dixon, Jordan B. Ahmed, Nisar R. Clark, Torin K. Front Neural Circuits Neural Circuits 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. Frontiers Media S.A. 2021-10-15 /pmc/articles/PMC8553968/ /pubmed/34720889 http://dx.doi.org/10.3389/fncir.2021.757817 Text en Copyright © 2021 Kravets, Dixon, Ahmed and Clark. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neural Circuits Kravets, Victoria G. Dixon, Jordan B. Ahmed, Nisar R. Clark, Torin K. COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title | COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title_full | COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title_fullStr | COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title_full_unstemmed | COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title_short | COMPASS: Computations for Orientation and Motion Perception in Altered Sensorimotor States |
title_sort | compass: computations for orientation and motion perception in altered sensorimotor states |
topic | Neural Circuits |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553968/ https://www.ncbi.nlm.nih.gov/pubmed/34720889 http://dx.doi.org/10.3389/fncir.2021.757817 |
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