Vilidaite, Greta and Baker, Daniel Hart orcid.org/0000-0002-0161-443X (2015) Unbiased measures of interocular transfer of motion adaptation. Perception. pp. 541-555. ISSN 0301-0066
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 a Pion publication. This is an author produced version of a paper published in Perception. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | interocular transfer,motion adaptation,bias-free methods |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 09 Nov 2015 13:06 |
Last Modified: | 26 Jan 2025 00:08 |
Published Version: | https://doi.org/10.1068/p7819 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1068/p7819 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91344 |