## Scatter plot of the upper-tail probabilities of the two tests in the presence of a repeated spatio-temporal pattern.

The upper tail probability of the first test (vertical axis) over the upper-tail probability of the second test (horizontal axis) for a reduced version of model 0. The model consists of parallel activity from *N* = 10 independent Poisson spike trains, plus two repetitions of a temporal sequence of *l*_{SSE} = 7 spikes from 7 different neurons (*ξ*_{SSE} = 1). The repeated spatio-temporal pattern generates a DS in the intersection matrix composed of 7 entries , and corresponding values *P*_{ik, jk} and *J*_{ik, jk} in the probability and joint probability matrices, respectively. The data are generated 100 times. For each data set and corresponding DS in the intersection matrix, the figure shows a point (max_{k}(1 − *J*_{ik, jk}), max_{k}(1 − *P*_{ik, jk})), corresponding to the least significant entries in the matrices *J* and *P* among those composing the DS. The figure shows the cloud of the 100 such points, one per simulation.