Article

Representational geometry explains puzzling error distributions in behavioral tasks

2023-01-04

Abstract excerpt

Measuring and interpreting errors in behavioral tasks is critical for understanding cognition. Conventional wisdom assumes that encoding/decoding errors for continuous variables in behavioral tasks should naturally have Gaussian distributions, so that deviations from normality in the empirical data indicate the presence of more complex sources of noise. This line of reasoning has been central for prior research on...

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Literature Corpus work: a0486327-e507-516d-94fe-c14f84f5884e
DOI: 10.1101/2023.01.03.522667

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