Neuron’s CV’s maximally correlates with their in-degrees and firing rates.

<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degree for a model network in three different states: (A) critical (λ = 1.02), (B) subcritical (λ = 0.9) and supercritical (λ = 1.1). Network parameters were <i>N</i> = 5000, 3% connectivity, and <i>η</i> = 1/(5<i>N</i>) applied to all neurons. The approximate critical point (λ = 1.02) is obtained in terms of the peak of population coupling. <b>C</b>: Correlation between CV and in-degree as a function of λ. Other network parameters as in (A), (B). The curves were smoothed using Matlab spline to better visualize the peak. The colored dots correspond to the distributions in(A) and (B). <b>D-E</b>: <i>CV</i> versus rate for three network states. Network parameters as in (A), (B). <b>F</b>: Correlation between CV and rate as a function of λ. Other network parameters as in (A), (B). <b>G-H</b>: Population coupling versus in-degree for three network states. Network parameters as in (A), (B). <b>I</b>: Correlation between population coupling and in-degree as a function of λ. Other network parameters as in (A) and (B).