Torre, Emiliano Canova, Carlos Denker, Michael Gerstein, George Helias, Moritz Grün, Sonja Scatter plot of the upper-tail probabilities of the two tests in the presence of a repeated spatio-temporal pattern. <p>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 <i>N</i> = 10 independent Poisson spike trains, plus two repetitions of a temporal sequence of <i>l</i><sub>SSE</sub> = 7 spikes from 7 different neurons (<i>ξ</i><sub>SSE</sub> = 1). The repeated spatio-temporal pattern generates a DS in the intersection matrix composed of 7 entries , and corresponding values <i>P</i><sub><i>i</i><sub><i>k</i></sub>, <i>j</i><sub><i>k</i></sub></sub> and <i>J</i><sub><i>i</i><sub><i>k</i></sub>, <i>j</i><sub><i>k</i></sub></sub> 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<sub><i>k</i></sub>(1 − <i>J</i><sub><i>i</i><sub><i>k</i></sub>, <i>j</i><sub><i>k</i></sub></sub>), max<sub><i>k</i></sub>(1 − <i>P</i><sub><i>i</i><sub><i>k</i></sub>, <i>j</i><sub><i>k</i></sub></sub>)), corresponding to the least significant entries in the matrices <i>J</i> and <i>P</i> among those composing the DS. The figure shows the cloud of the 100 such points, one per simulation.</p> ASSET;method;SSE;intersection matrix;neuron;data;Sequence;entry 2016-07-15
    https://plos.figshare.com/articles/figure/Scatter_plot_of_the_upper-tail_probabilities_of_the_two_tests_in_the_presence_of_a_repeated_spatio-temporal_pattern_/3895602
10.1371/journal.pcbi.1004939.g015