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A method for generating a “purely first-order” dichoptic motion stimulus
Author(s) -
Ryusuke Hayashi,
Shin’ya Nishida,
Andreas S. Tolias,
Nikos K. Logothetis
Publication year - 2007
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/7.8.7
Subject(s) - monocular , computer vision , stimulus (psychology) , artificial intelligence , computer science , motion detection , motion (physics) , binocular vision , psychology , cognitive psychology
In the present technical article, we describe a method for generating a new dichoptic motion stimulus, the monocular components of which are dynamic random noise without constant figural cues for feature-tracking-based motion. Our dichoptic motion stimulus adds a new line of evidence, which supports the original conclusion of M. Shadlen and T. Carney (1986) that motion detection can be solely derived from early binocular motion processing. Further, we describe novel motion displays in which monocular motion and binocular motion are in opposite directions with variable intensity ratios. Our dichoptic stimuli will serve as a useful tool to investigate the interaction between low-level binocular motion detectors and monocular motion detectors without requiring feature extraction before motion detection

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