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

Research article (NeuroImage, 2022) · cited 45× · AI/ML
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Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior

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Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-reweighted-representational-similarity-analysis-a-method-for-improving-the-fit-between-computational-models-brai
MLA “Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-reweighted-representational-similarity-analysis-a-method-for-improving-the-fit-between-computational-models-brai.
BibTeX @misc{4ortxyz_feature-reweighted-representational-similarity-analysis-a-method-for-improving-the-fit-between-computational-models-brai_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior}}, year = {2026}, url = {https://4ort.xyz/entity/feature-reweighted-representational-similarity-analysis-a-method-for-improving-the-fit-between-computational-models-brai}, note = {Accessed: 2026-05-24}}
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