Table 2.

Effects of neural signals on behavioral performance.

Predictors	Accuracy			Accurate RT
	Log odds	CI	P	Estimates	CI	P
Intercept	1.87	1.65 to 2.08	<0.001	647.66	630.60 to 664.71	<0.001
Efficacy	0.08	0.00 to 0.15	0.044	−4.00	−8.84 to 0.85	0.106
Reward	0.03	−0.05 to 0.10	0.465	−3.25	−6.85 to 0.34	0.076
P3b	0.08	0.04 to 0.11	<0.001	−7.04	−8.87 to −5.21	<0.001
CNV	−0.10	−0.14 to −0.06	<0.001	15.58	12.02 to 19.15	<0.001
Congruency (i–n)	0.65	0.44 to 0.85	<0.001	−64.00	−68.85 to −59.14	<0.001
Congruency (n–c)	0.34	0.18 to 0.49	<0.001	−15.86	−20.27 to −11.45	<0.001
Baseline	0.02	−0.02 to 0.07	0.326	2.23	0.05 to 4.42	0.045
Trial	0.04	0.00 to 0.08	0.036	−10.77	−12.58 to −8.95	<0.001
Efficacy:reward	0.01	−0.14 to 0.17	0.853	−9.96	−17.14 to −2.78	0.007
Observations	22,580			18,999

Statistics are derived from linear mixed-effects models with predictors as noted. Statistically significant P values (<0.05, two-sided) are shown in bold. Congruency (n–i) refers to the comparison between incongruent and neutral Stroop stimulus; Congruency (c-n) refers to the comparison between neutral and congruent Stroop stimulus.