Table 2 The p values of t and u test results of the five indices.

Training batches	Escape latency		Index 1		Index 2		Index 3		Index 4
Training batches	t-test	U test	t-test	U test	t-test	U test	t-test	U test	t-test	U test
1	—	0.347	—	0.261	—	0.673	—	0.465	0.773	—
2	—	0.976	0.267	—	0.601	—	0.419	—	0.558	—
3	—	0.020*	0.002**	—	—	0.003**	0.002**	—	0.001**	—
4	—	0.332	0.147	—	0.586	—	0.157	—	0.106	—
5	—	0.001**	—	0.009**	—	0.011*	—	0.013*	—	0.011*
6	—	0.002**	0.001**	—	—	0.002**	0.001**	—	0.001**	—
7	—	0.004**	—	0.004**	—	0.010*	—	0.005**	—	0.011*
8	—	0.559	—	0.933	—	0.555	0.993	—	0.937	—
9	—	0.348	0.382	—	0.512	—	0.523	—	0.568	—
10	—	0.020*	—	0.015*	—	0.012*	—	0.015*	—	0.020*
11	—	0.005**	—	0.007**	—	0.006**	—	0.013*	—	0.011*
12	—	0.795	0.313	—	—	0.500	0.338	—	0.313	—
13^#	—	0.166	—	0.011*	—	0.038*	—	0.017*	—	0.009**
14	—	0.178	0.114	—	0.115	—	0.127	—	—	0.152
15^#	—	0.027*	—	0.087	0.058	—	0.054	—	0.065	—
16	—	0.381	—	0.227	—	0.384	—	0.249	0.168	—
17	—	0.410	0.262	—	0.299	—	0.325	—	0.327	—
18	—	0.474	0.297	—	—	0.216	—	0.399	0.258	—
19	—	0.009**	0.008**	—	0.013*	—	0.008**	—	0.009**	—
20	0.685	—	0.943	—	—	0.448	0.806	—	0.729	—

Note: The table above shows 20 training results. Referring to Table 1, t-test was used if the data of the model and the control group were both in normal distribution, otherwise U test was used. *p < 0.05, **p < 0.01, —missing value because respective test cannot be used, ^#the result of escape latency is inconsistent with that of new indices in this training.

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