Process / pipelineRepresentational analysis

Representational Similarity Analysis

Representational Similarity Analysis (RSA) is a framework for comparing representational geometry across brain regions, computational models, and behavioral measures. Introduced by Kriegeskorte and colleagues in 2008, RSA measures how similarly a brain region represents different stimuli or concepts by examining pairwise similarity structure rather than absolute activity patterns.

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Sources

  1. Kriegeskorte, N., Mur, M., & Bandettini, P. A. (2008). Representational similarity analysis—connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 4. DOI: 10.3389/neuro.06.004.2008
  2. Nili, H., Wingfield, C., Walther, A., et al. (2014). Inferring population attitude towards candidates from social media and electoral history. PLOS ONE, 9(5), e95809. DOI: 10.1371/journal.pone.0095809

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Referenced by

ScholarGateRepresentational Similarity Analysis (Representational Similarity Analysis (RSA)). Retrieved 2026-06-04 from https://scholargate.app/en/neuroimaging/representational-similarity-analysis