Interplay of Inhibition and Multiplexing : Largest Eigenvalue Statistics

Network size N=500. Figure 3: (Color online) Distribution of R max of SF networks with average degree h k i = 6 for various IC inclusion probabilities ( p in ). Histogram is fitted with normal (blue dotted line) and GEV (red solid line) distributions.

Network size N=500.Table 1: Estimated parameters of KS test for fitting GEV and normal distributions of R m ax for different network sizes of SF network over a average of 5000 random realization. Other parameters are inhibition inclusion probability p in = 0 . 5 and average degree k = 6.Table 2: Estimated parameters of KS test for fitting of GEV and normal distributions of R m ax for different inhibitory inclusion probability ( p i n ) of SF- SF network over 5000 population.

Other parameters are network size N = 100 in each layer and average degree k = 6.Table 3: Estimated parameters of KS test for fitting of GEV and normal distributions of R m ax for different inhibitory inclusion probability ( p i n ) of ER- SF network over 5000 population. Other parameters are network size N = 100 in each layer and average degree k = 6.