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 lSSE = 7 spikes from 7 different neurons (ξSSE = 1). The repeated spatio-temporal pattern generates a DS in the intersection matrix composed of 7 entries , and corresponding values Pik, jk and Jik, 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 (maxk(1 − Jik, jk), maxk(1 − Pik, 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.