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dc.contributor.authorChang, Dorita HFen
dc.contributor.authorKourtzi, Zoeen
dc.contributor.authorWelchman, Andrewen
dc.date.accessioned2019-02-20T16:09:24Z
dc.date.available2019-02-20T16:09:24Z
dc.date.issued2013-07en
dc.identifier.issn0270-6474
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/289735
dc.description.abstractVisual judgments critically depend on (1) the detection of meaningful items from cluttered backgrounds and (2) the discrimination of an item from highly similar alternatives. Learning and experience are known to facilitate these processes, but the specificity with which these processes operate is poorly understood. Here we use psychophysical measures of human participants to test learning in two types of commonly used tasks that target segmentation (signal-in-noise, or "coarse" tasks) versus the discrimination of highly similar items (feature difference, or "fine" tasks). First, we consider the processing of binocular disparity signals, examining performance on signal-in-noise and feature difference tasks after a period of training on one of these tasks. Second, we consider the generality of learning between different visual features, testing performance on both task types for displays defined by disparity, motion, or orientation. We show that training on a feature difference task also improves performance on signal-in-noise tasks, but only for the same visual feature. By contrast, training on a signal-in-noise task has limited benefits for fine judgments of the same feature but supports learning that generalizes to signal-in-noise tasks for other features. These findings indicate that commonly used signal-in-noise tasks require at least three distinct components: feature representations, signal-specific selection, and a generalized process that enhances segmentation. As such, there is clear potential to harness areas of commonality (both within and between cues) to improve impaired perceptual functions.
dc.format.mediumPrinten
dc.languageengen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHumansen
dc.subjectPhotic Stimulationen
dc.subjectOrientationen
dc.subjectDepth Perceptionen
dc.subjectMotion Perceptionen
dc.subjectPsychomotor Performanceen
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectFemaleen
dc.subjectMaleen
dc.subjectSignal Detection, Psychologicalen
dc.subjectYoung Adulten
dc.titleMechanisms for extracting a signal from noise as revealed through the specificity and generality of task training.en
dc.typeArticle
prism.endingPage10971
prism.issueIdentifier27en
prism.publicationDate2013en
prism.publicationNameThe Journal of neuroscience : the official journal of the Society for Neuroscienceen
prism.startingPage10962
prism.volume33en
dc.identifier.doi10.17863/CAM.20597
rioxxterms.versionofrecord10.1523/jneurosci.0101-13.2013en
rioxxterms.versionVoR*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2013-07en
dc.contributor.orcidChang, Dorita HF [0000-0002-0604-2477]
dc.contributor.orcidKourtzi, Zoe [0000-0001-9441-7832]
dc.contributor.orcidWelchman, Andrew [0000-0002-7559-3299]
dc.identifier.eissn1529-2401
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idWellcome Trust (095183/B/10/Z)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International