Table 1. .

Significant Time Windows Showing Topographic Change from Pretest to Posttest Identified by the TANOVA RAGU Analysis in the Rote Learning Condition

Window	Time	Observed GD	Mean GD from the Permutation Distribution	95% CI for GD from the Permutation Distribution	Probability of the Observed GD Statistic (or Greater) under the Permutation Distribution
W1	100 msec	3.22	2.46	[1.92, 3.14]	.04
W2	156–160 msec	2.5	1.96	[1.58, 2.43]	.04
W3	380–400 msec	2.4	1.89	[1.55, 2.3]	.02
W4	424–484 msec	2.33	1.8	[1.48, 2.19]	.03
W5	580–604 msec	2.2	1.81	[1.51, 2.17]	.04
W6	660–800 msec	2.66	2.05	[1.72, 2.4]	.01

For each window, the observed generalized dissimilarity (GD) between pretest and posttest is reported along with the mean and the 95% CI from the permutation distribution. The final column (Probability of the Observed GD statistic (or Greater) under the Permutation Distribution) reports the percentage of the 5000 shuffled versions of the data that obtained a GD statistic between pretest and posttest more extreme than actually observed. Data in bold indicate windows that pass the duration threshold in RAGU.