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- Oh-Sang Kwon
- Center for Visual Science and Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627;
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- Duje Tadin
- Center for Visual Science and Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627;
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- David C. Knill
- Center for Visual Science and Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627;
説明
<jats:title>Significance</jats:title> <jats:p>In our visual environment, object motion is strongly correlated with changes in object position. However, there is no unifying computational framework that can account for both motion and position perception and their interactions. Here, we propose and test an object-tracking model that optimally integrates sensory signals with a realistic model of motion dynamics. The model accounts for several well-known visual illusions, including motion-induced position shifts, slow speed biases, and the curveball illusion. Moreover, the model also makes several novel and, in some cases, counterintuitive predictions about interdependencies between position and motion. In summary, we provide a unifying framework that reconceptualizes how the human visual system constructs coherent percepts from noisy position and motion signals.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 112 (26), 8142-8147, 2015-06-15
Proceedings of the National Academy of Sciences
