The unbiased estimation of the fraction of variance explained by a model.
The correlation coefficient squared, r2, is commonly used to validate quantitative models on neural data, yet it is biased by trial-to-trial variability: as trial-to-trial variability increases, measured correlation to a model's predictions decreases. As a result, models that perfectly explain...
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Autores principales: | , |
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Formato: | article |
Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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Acceso en línea: | https://doaj.org/article/4217079778f2440a98e5cedb15d03483 |
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