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This paper covers similarity analyses, a subset of multivariate pattern analysis techniques that are based on similarity spaces defined by multivariate patterns. These techniques offer several advantages and complement other methods for brain data analyses, as they allow for comparison of representational structure across individuals, brain regions, and data acquisition methods. Particular attention is paid to multidimensional scaling and related approaches that yield spatial representations ordoi:10.1155/2013/796183 pmid:23662162 pmcid:PMC3639644 fatcat:b5vyoqk36fe7piommuku4sul4e