Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/122
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dc.contributorSharman, Rebecca J-
dc.contributor.otherWellcome Trusten_GB
dc.creatorSharman, Rebecca-
dc.creatorGheorghiu, Elena-
dc.date.accessioned2018-07-31T15:27:51Z-
dc.identifier.urihttp://hdl.handle.net/11667/122-
dc.description.abstractMotion-direction does not contribute to symmetry perception, but limiting the lifetime of pattern elements improves symmetry detection1. Here we examine whether symmetry mechanisms are tuned to motion speed and if there are speed-selective symmetry channels. Stimuli were dynamic dot patterns containing varying amounts of symmetry. We measured symmetry detection thresholds for stimuli in which symmetric and noise elements moved at the same or different speeds and compared them to those obtained with static and limited-lifetime static patterns. In a second experiment, we measured percentage correct in two conditions: segregated – symmetric and noise elements drifted at different speeds, and non-segregated – symmetric elements drifted at two different speeds, as did the noise elements. We found that (i) performance was worse when symmetric and noise elements had the same speed and improved gradually as the speed difference increased, (ii) thresholds were comparable for all limited-lifetime static conditions, (iii) performance was improved in segregated compared to non-segregated conditions, (iv) modelling suggests that there are speed-selective channels that combine their outputs using probability summation. In conclusion, symmetry mechanisms are tuned to speed, and there are speed-selective symmetry channels, (v) better performance for moving compared to static patterns.en_GB
dc.description.tableofcontentsSpeedPredictions.xlsx – probability summation predictions VelocitySummary1.xlsx – summary of results Code (folder) – all experimental code Experiment 1 (folder) – raw data from Experiment 1 Experiment 2 (folder) – raw data from Experiment 2en_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciencesen_GB
dc.relationSharman, R; Gheorghiu, E (2019): Speed tuning properties of mirror symmetry detection mechanisms. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/122en_GB
dc.relation.isreferencedbySharman R & Gheorghiu E (2019) Speed tuning properties of mirror symmetry detection mechanisms. Scientific Reports, 9, Art. No.: 3431. https://doi.org/10.1038/s41598-019-39064-x Available from: http://hdl.handle.net/1893/28937en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectSymmetryen_GB
dc.subjectVisual Perceptionen_GB
dc.subjectSpeeden_GB
dc.subjectMotionen_GB
dc.subjectPerceptual organisationen_GB
dc.subjectPsychophysicsen_GB
dc.subject.classification::Psychology::Psychology::Perceptionen_GB
dc.subject.classification::Psychology::Psychology::Visual perceptionen_GB
dc.subject.classification::Psychology::Psychology::Psychophysicsen_GB
dc.titleSpeed tuning properties of mirror symmetry detection mechanismsen_GB
dc.typedataseten_GB
dc.contributor.emailrebecca.sharman@stir.ac.uken_GB
dc.identifier.rmsid417354en_GB
dc.identifier.projectid106969/Z/15/Zen_GB
dc.title.projectTowards a better understanding of mirror-symmetry coding in human visionen_GB
dc.contributor.affiliationUniversity of Stirling (Psychology)en_GB
dc.date.publicationyear2019en_GB
Appears in Collections:University of Stirling Research Data

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