Takeharu Seno
Affiliations: | Kyushu University, Fukuoka-shi, Fukuoka-ken, Japan |
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| Guo X, Nakamura S, Fujii Y, et al. (2021) Effects of luminance contrast, averaged luminance and spatial frequency on vection. Experimental Brain Research |
| Suzuki W, Hiyama A, Ichinohe N, et al. (2020) Visualization by P-flow: gradient- and feature-based optical flow and vector fields extracted from image analysis. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 37: 1958-1964 |
| Suzuki W, Seno T, Yamashita W, et al. (2019) Vection induced by low-level motion extracted from complex animation films. Experimental Brain Research |
| Seno T, Murata K, Fujii Y, et al. (2018) Vection Is Enhanced by Increased Exposure to Optic Flow. I-Perception. 9: 2041669518774069 |
| Seno T, Sawai KI, Kanaya H, et al. (2017) The Oscillating Potential Model of Visually Induced Vection. I-Perception. 8: 2041669517742176 |
| Fujii Y, Seno T, Allison RS. (2017) Smoothness of stimulus motion can affect vection strength. Experimental Brain Research |
| Seno T, Palmisano S, Riecke BE, et al. (2015) Walking without optic flow reduces subsequent vection. Experimental Brain Research. 233: 275-81 |
| Nishimura T, Seno T, Motoi M, et al. (2014) Illusory self-motion (Vection) may be inhibited by hypobaric hypoxia Aviation Space and Environmental Medicine. 85: 504-508 |
| Palmisano S, Apthorp D, Seno T, et al. (2014) Spontaneous postural sway predicts the strength of smooth vection. Experimental Brain Research. 232: 1185-91 |
| Seno T, Kitaoka A, Palmisano S. (2013) Vection induced by illusory motion in a stationary image. Perception. 42: 1001-5 |