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dc.creatorPopal, Haroon S.
dc.creatorWang, Yin
dc.creatorOlson, Ingrid
dc.date.accessioned2022-07-27T14:59:54Z
dc.date.available2022-07-27T14:59:54Z
dc.date.issued2020-01-02
dc.identifier.citationPopal, H. S., Wang, Y., & Olson, I. R. (2019). A Guide To Representational Similarity Analysis for Social Neuroscience. Social Cognitive and Affective Neuroscience, 14(11), 1243-1253. https://doi.org/10.1093/scan/nsz099
dc.identifier.issn1749-5024
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/7937
dc.identifier.urihttp://hdl.handle.net/20.500.12613/7965
dc.description.abstractRepresentational similarity analysis (RSA) is a computational technique which uses pairwise comparisons of stimuli to reveal their representation in higher-order space. In the context of neuroimaging, mass-univariate analyses and other multivariate analyses can provide information on what and where information is represented but have limitations in their ability to address how information is represented. Social neuroscience is a field that can particularly benefit from incorporating RSA techniques to explore hypotheses regarding the representation of multidimensional data, how representations can predict behavior, how representations differ between groups, and how multimodal data can be compared to inform theories. The goal of this paper is to provide a practical as well as theoretical guide to implementing RSA in social neuroscience studies.
dc.format.extent11 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartSocial Cognitive and Affective Neuroscience, Vol. 14, Iss. 11
dc.relation.isreferencedbyOxford University Press
dc.rightsAttribution-NonCommercial CC BY-NC
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectRepresentational similarity analysis
dc.subjectSocial neuroscience
dc.subjectfMRI
dc.subjectMultivariate pattern analysis
dc.titleA Guide To Representational Similarity Analysis for Social Neuroscience
dc.typeText
dc.type.genreJournal article
dc.description.departmentPsychology and Neuroscience
dc.relation.doihttps://doi.org/10.1093/scan/nsz099
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.creator.orcidOlson|0000-0001-8947-6432
dc.temple.creatorOlson, Ingrid R.
refterms.dateFOA2022-07-27T14:59:54Z


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