Table 1.

Stepwise regression of pupil-based models of neural activity

Baseline	Gain	Baseline-Gain	2nd-Order Baseline	2nd-Order Baseline-Gain
−0.009§	−0.009§	−0.02§	−0.01§	−0.02§	Null
	0.0001†	−0.006§	−0.002‡	−0.01§	Baseline
		−0.006§	−0.002†	−0.01§	Gain
			−0.004*	−0.004‡	Baseline-gain
				−0.008§	2nd-Order Baseline

Stepwise regression of pupil-based models of neural activity applied to vocalization data set. Values are the difference in median accuracy across the population of neurons with significant fit for any model (n = 92/114). Bold text indicates comparisons for which the difference is significant at alpha level 0.05 with Bonferroni correction for multiple comparisons.

^*P < 0.05;

^†P < 0.01;

^‡P < 0.001;

^§P < 0.0001 (sign test).