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The unbiased estimation of the fraction of variance explained by a model
Fig 3
Comparison of 
and 
for estimating model-to-neuron fit across broad, relevant ranges of SNR, n, and m.
(A) Average performance of naive 
(blue) and corrected 
(orange) as a function of SNR for a simulation where true 
(horizontal black line), m = 362, n = 4, and σ2 = 0.25. Error bars indicate 90% quantiles. (B) Performance of estimators as a function of n, the number of repeats of each stimulus. Simulation like (A), except SNR = 0.5 and n is varied. (C) Performance as a function of m, the number of unique stimuli, for a low number of repeats (n = 4). Like (A), except SNR = 0.5 and m is varied.
doi: https://doi.org/10.1371/journal.pcbi.1009212.g003