Table 1.

Statistical tests

Test use	Test	Data structure	Power
Individual neuron color preferences (Fig. 2)	ROC area significance bootstrapping	Non-Gaussian	95% CI > 0.5
Population percent color preference (Figs. 2B, D, 3D)	χ2-proportion test	Proportion	p < 0.05
Individual neuron cue/foil preferences	ROC area significance bootstrapping	Non-Gaussian	95% CI > 0.5
Unit type category AMI comparison (Fig. 3B)	ANOVA	Gaussian	α = 0.05, p < 0.05
Population percent cue/foil preference (Fig. 3C)	χ2-proportion tests	Proportion	p < 0.05
Time course of cue and color preferences (Fig. 3C,D)	ANCOVA	Gaussian	α = 0.05, p < 0.01
Presence of significant change-detection activity in single neurons	Wilcoxon rank sum test	Non-Gaussian	p < 0.05
Comparison of onset-evoked and change-evoked peak firing rates	ANVOA	Gaussian	α = 0.05, p < 0.05
Individual neuron saturation increment vs. decrement preferences (Fig. 5)	ROC area significance bootstrapping	Non-Gaussian	95% CI > 0.5
Individual neuron hits vs. misses preferences (Fig. 6)	ROC area significance bootstrapping	Non-Gaussian	95% CI > 0.5
Unit type category detect-probability comparison (Fig. 6)	ANOVA	Gaussian	α = 0.05, p = 0.77
Unit type category percent hits preference comparison (Fig. 6)	χ2-proportion tests	Proportion	p > 0.05
Comparison of hinge model component contributions to variation in threshold time	ANOVA	Gaussian	α = 0.05, p < 0.01