title: Unbiased measures of interocular transfer of motion adaptation.
abstract: Numerous studies have measured the extent to which motion aftereffects transfer interocularly. However, many have done so using bias-prone methods, and studies rarely compare different types of motion directly. Here, we use a technique designed to reduce bias (Morgan, 2013, Journal of Vision, 13(8):26, 1-11) to estimate interocular transfer (IOT) for five types of motion: simple translational motion, expansion/contraction, rotation, spiral, and complex translational motion. We used both static and dynamic targets with subjects making binary judgments of perceived speed. Overall, the average IOT was 65%, consistent with previous studies (mean over 17 studies of 67% transfer). There was a main effect of motion type, with translational motion producing stronger IOT (mean: 86%) overall than any of the more complex varieties of motion (mean: 51%). This is inconsistent with the notion that IOT should be strongest for motion processed in extrastriate regions that are fully binocular. We conclude that adaptation is a complex phenomenon too poorly understood to make firm inferences about the binocular structure of motion systems.
authors.forename: Greta
authors.initials: G
authors.lastname: Vilidaité
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Baker
mesh_terms: D000222:Adaptation, Physiological; D000360:Afterimage; D006801:Humans; D009039:Motion Perception; D009040:Motion Pictures; D012107:Research Design; D012684:Sensory Thresholds; D015348:Vision, Binocular; D014796:Visual Perception