Article

Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior

2021-09-28

Abstract excerpt

Representational Similarity Analysis (RSA) has emerged as a popular method for relating representational spaces from human brain activity, behavioral data, and computational models. RSA is based on the comparison of representational (dis-)similarity matrices (RDM or RSM), which characterize the pairwise (dis-)similarities of all conditions across all features (e.g. fMRI voxels or units of a model). However, classi...

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Literature Corpus work: c8fc23eb-0753-59c3-9325-86093b061997
DOI: 10.1101/2021.09.27.462005

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