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    <title>rsa on Camille Grasso</title>
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      <title>How and why to perform Representational Similarity Analysis</title>
      <link>https://grassocamille.netlify.app/talk/rsa/</link>
      <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
      
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      <description>These slides are a modest and certainly non-exhaustive introduction to Representational Similarity Analysis (RSA). They cover the logic of RDMs, model comparison, dissimilarity measures, statistical inference, and a few (more concrete) examples.
The final example uses behavioural similarity judgments and EEG data from our recent preprint on the representational geometry of durations: Grasso, Nalborczyk, &amp;amp; Van Wassenhove, 2026.
They were initially prepared for a lab tutorial, so the goal is not to provide a complete technical reference, but rather to make RSA feel a bit more intuitive.</description>
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