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The Oscillating Potential Model of Visually Induced Vection

Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusi...

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Autores principales: Seno, Takeharu, Sawai, Ken-ichi, Kanaya, Hidetoshi, Wakebe, Toshihiro, Ogawa, Masaki, Fujii, Yoshitaka, Palmisano, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703118/
https://www.ncbi.nlm.nih.gov/pubmed/29204263
http://dx.doi.org/10.1177/2041669517742176
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author Seno, Takeharu
Sawai, Ken-ichi
Kanaya, Hidetoshi
Wakebe, Toshihiro
Ogawa, Masaki
Fujii, Yoshitaka
Palmisano, Stephen
author_facet Seno, Takeharu
Sawai, Ken-ichi
Kanaya, Hidetoshi
Wakebe, Toshihiro
Ogawa, Masaki
Fujii, Yoshitaka
Palmisano, Stephen
author_sort Seno, Takeharu
collection PubMed
description Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusion. We then conducted 10,000 virtual trial simulations using this Oscillating Potential Vection Model (OPVM). OPVM was used to generate simulated vection onset, duration, and magnitude responses for each of these trials. Finally, we compared the properties of OPVM’s simulated vection responses with real responses obtained in seven different laboratory-based vection experiments. The OPVM output was found to compare favorably with the empirically obtained vection data.
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spelling pubmed-57031182017-12-04 The Oscillating Potential Model of Visually Induced Vection Seno, Takeharu Sawai, Ken-ichi Kanaya, Hidetoshi Wakebe, Toshihiro Ogawa, Masaki Fujii, Yoshitaka Palmisano, Stephen Iperception Article Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusion. We then conducted 10,000 virtual trial simulations using this Oscillating Potential Vection Model (OPVM). OPVM was used to generate simulated vection onset, duration, and magnitude responses for each of these trials. Finally, we compared the properties of OPVM’s simulated vection responses with real responses obtained in seven different laboratory-based vection experiments. The OPVM output was found to compare favorably with the empirically obtained vection data. SAGE Publications 2017-11-24 /pmc/articles/PMC5703118/ /pubmed/29204263 http://dx.doi.org/10.1177/2041669517742176 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Seno, Takeharu
Sawai, Ken-ichi
Kanaya, Hidetoshi
Wakebe, Toshihiro
Ogawa, Masaki
Fujii, Yoshitaka
Palmisano, Stephen
The Oscillating Potential Model of Visually Induced Vection
title The Oscillating Potential Model of Visually Induced Vection
title_full The Oscillating Potential Model of Visually Induced Vection
title_fullStr The Oscillating Potential Model of Visually Induced Vection
title_full_unstemmed The Oscillating Potential Model of Visually Induced Vection
title_short The Oscillating Potential Model of Visually Induced Vection
title_sort oscillating potential model of visually induced vection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703118/
https://www.ncbi.nlm.nih.gov/pubmed/29204263
http://dx.doi.org/10.1177/2041669517742176
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