ArticleSocial cognitive and affective neuroscience2019
A Guide to Representational Similarity Analysis for Social Neuroscience.
Article in Social cognitive and affective neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed.
- Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces.Scientific reports · 2021Trial
- Distinct Representations of Irrelevant Emotional Information in the Visual Network Are Associated With Psychopathology in Youth.Biological psychiatry global open science · 2026Article
- Neurocomputational Mechanisms Linking Future Interaction Prospects to Reactive and Proactive Costly Punishment.Neuroscience bulletin · 2026Article
- Amygdalar Pattern Similarity to Negative and Neutral Images, Ratings of the Images, and PET-Measured Amyloid and Tau Levels in Older Adults Without Dementia.Affective science · 2026Article
- Large language models as psychometric laboratories? Maybe not yet. Cautionary evidence from synthetic personality data.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Elucidating the neuropathological and molecular heterogeneity of amyloid beta and tau in Alzheimer's disease through machine learning and transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Temporal Response Function-Driven Representational Similarity Analysis for Speech Perception Decoding with MEG and EEG.Biology · 2026Article
- Direction selectivity in naturalistic action observation: distributed representations across the action observation network.Brain structure & function · 2026Article
- Can conceptual beliefs shape impressions from voices?Psychonomic bulletin & review · 2026Article
- Activation in the right orbitofrontal cortex during pain processing as a transdiagnostic neural representation in suicide attempters.Brain imaging and behavior · 2026Article
- Prediction strength shapes representations of social judgments and bodily responses to prediction violations.Social cognitive and affective neuroscience · 2026Article
- The Comparison of Human and Machine Performance in Object Recognition.Behavioral sciences (Basel, Switzerland) · 2026Article
- Pre-treatment consent framing shapes how laypeople evaluate CBT: a cross-cultural comparison of China and the United States.Frontiers in psychology · 2026Article
- Exploring the role of micro-valence in the phenomenal space: insights from similarity judgments and deep learning models.Neuroscience of consciousness · 2026Article
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- Neural representation of mixed feelings during real-time processing of negative words in pun-humor.Communications biology · 2025Article
- Spatiotemporal Dynamics of Language Information Representation within the Left Inferior Parietal Lobule Network: An Intracranial SEEG Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Distinct neural representational changes following cross-format number tutoring in children with mathematical difficulties.NPJ science of learning · 2025Article
- Understanding Empathy Toward Dissimilar Others in Challenging Everyday Interactions.Human brain mapping · 2025Article
7 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
Representational similarity analysis (RSA) is a computational technique that 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.
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