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Töpfer FM, Barbieri R, Sexton CM, Wang X, Soch J, Bogler C, Haynes JD. Psychophysics and computational modeling of feature-continuous motion perception. J Vis 2022; 22:16. [DOI: 10.1167/jov.22.11.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Felix M. Töpfer
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
| | - Riccardo Barbieri
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
| | - Charlie M. Sexton
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
- Melbourne School of Psychological Sciences, The University of Melbourne Parkville, Melbourne, Australia
| | - Xinhao Wang
- Humboldt-Universität zu Berlin, Berlin School of Mind and Brain and Institute of Psychology, Berlin, Germany
| | - Joram Soch
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
- Research Group Cognitive Geriatric Psychiatry, German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Carsten Bogler
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
| | - John-Dylan Haynes
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Bernstein Center for Computational Neuroscience, Berlin Center for Advanced Neuroimaging, and Department of Neurology, Berlin, Germany
- Humboldt-Universität zu Berlin, Berlin School of Mind and Brain and Institute of Psychology, Berlin, Germany
- Technische Universität Dresden, SFB 940 and Cognitive Control, 01069 Dresden, Germany
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Abstract
Despite the fundamental importance of visual motion processing, our understanding of how the brain represents basic aspects of motion is incomplete. While it is generally believed that direction is the main representational feature of motion, motion processing is also influenced by nondirectional orientation signals that are present in most motion stimuli. Here, we aimed to test whether this nondirectional motion axis contributes motion perception even when orientation is completely absent from the stimulus. Using stimuli with and without orientation signals, we found that serial dependence in a simple motion direction estimation task was predominantly determined by the orientation of the previous motion stimulus. Moreover, the observed attraction profiles closely matched the characteristic pattern of serial attraction found in orientation perception. Evidently, the sequential integration of motion signals strongly depends on the orientation of motion, indicating a fundamental role of nondirectional orientation in the coding of visual motion direction.
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