September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Creation of a new vection total index calculated by new individual models of latency, duration and magnitude of vection.
Author Affiliations
  • Ryo Iida
    National Institute of Technology, Gunma College
  • Takeharu Seno
    Kyushu University, Faculty of Design
  • Hisashi Usui
    National Institute of Technology, Gunma College
Journal of Vision September 2021, Vol.21, 2140. doi:
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      Ryo Iida, Takeharu Seno, Hisashi Usui; Creation of a new vection total index calculated by new individual models of latency, duration and magnitude of vection.. Journal of Vision 2021;21(9):2140.

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      © ARVO (1962-2015); The Authors (2016-present)

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When the coherent motion stimulus is presented in a very wide field of view, the observer would perceive an illusory movement of the self-body. This visually induced self-motion is named “vection” (see review, Palmisano et al., 2015). In this study, we proposed a mathematical model that revealed the relationship between vection strength and the amount of the activities of the V1 cells by motion energy (e.g. motion energy model by Adelson & Bergen, 1985). Our model was based on the previous results in the study by Fujii et al. (2018). Three indices, i.e. latency, duration, and magnitude, have been repeatedly used for knowing the vection strength (Seno et al., 2017 & 2018). Fujii et al. (2018) revealed the relationship between the frame rate and those three vection indices, and considered the relationship between vection and the motion energy calculated by the frame rate, i.e. the more the frame rate, the more the motion energy. We further considered and elaborated new mathematical models for each vection indices. We reached the fact that the individual mathematical model of each vection index could all be expressed in a similar functional form, i.e. the exponential function. We finally could propose a new vection index (vection strength variable), which integrated all three indices and create a total evaluation value of vection strength. This new variable enables us to know the real vection strength even when the three indices are inconsistent. Two demonstrations to show the effectiveness of our model and the new index, made by using two previous published data were explained in detail in this poster (Mori & Seno, 2018; Seno, Kiyokawa & Abe, 2013). The goal of this study is to translate the subjective vection strength into the amount of activations of V1 cells, as more objective values.


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