Fig. 8
From: Coarse-Grained Clustering Dynamics of Heterogeneously Coupled Neurons
Kolmogorov–Smirnov test of the hypothesis that the heterogeneity distribution of one of the double-cluster states is consistent with the full heterogeneity distribution; this test is necessary in order to identify the characteristics of the random variable of each of the sub-networks, for possible PC expansion. The cumulative distribution function (CDF) of the normal distribution (thin solid line) is compared with the CDFs of 
(thick lines) of sub-networks formed with 25, 50, 100, and 500 neurons, respectively. The original distribution for the entire population is a standard normal distribution