Table 1.

Statistical tests

Test use TestData structurePower
Individual neuron color preferences (Fig. 2)ROC area significance bootstrappingNon-Gaussian95% CI > 0.5
Population percent color preference (Figs. 2B, D, 3D)χ2-proportion testProportionp < 0.05
Individual neuron cue/foil preferencesROC area significance bootstrappingNon-Gaussian95% CI > 0.5
Unit type category AMI comparison (Fig. 3B)ANOVAGaussianα = 0.05, p < 0.05
Population percent cue/foil preference (Fig. 3C)χ2-proportion testsProportionp < 0.05
Time course of cue and color preferences (Fig. 3C,D)ANCOVAGaussianα = 0.05, p < 0.01
Presence of significant change-detection activity in single neuronsWilcoxon rank sum testNon-Gaussianp < 0.05
Comparison of onset-evoked and change-evoked peak firing ratesANVOAGaussianα = 0.05, p < 0.05
Individual neuron saturation increment vs. decrement preferences (Fig. 5)ROC area significance bootstrappingNon-Gaussian95% CI > 0.5
Individual neuron hits vs. misses preferences (Fig. 6)ROC area significance bootstrappingNon-Gaussian95% CI > 0.5
Unit type category detect-probability comparison (Fig. 6)ANOVAGaussianα = 0.05, p = 0.77
Unit type category percent hits preference comparison (Fig. 6)χ2-proportion testsProportionp > 0.05
Comparison of hinge model component contributions to variation in threshold timeANOVAGaussianα = 0.05, p < 0.01