Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits
Fig 7
Properties of synaptic inputs to individual neurons in the local cortical circuit model.
(A) Time series of total excitatory and inhibitory inputs received by individual excitatory neurons over 1 s in the different dynamic states (with ζ/ζc = 0.8, 1.0, 1.3 corresponding to the propagating wave state, the transition state and the asynchronous state, respectively; see Fig 3). (B) Average cross-correlation (xcorr) between the total E and I currents into excitatory neurons in the different dynamic states. The shaded area shows one SEM of 10 trials. (C) The convex hulls of the mean and standard deviation data points (pooled from 10 trials) of the total input current into individual neurons in the different dynamic states, denoted by the same color-coding as in (B). The region to the left of vertical dashed line is where the mean input current is less than the threshold current. The region above the inclined dotted line is where the mean plus one standard deviation of the input current is above the threshold current. (D) The relative errors of estimating the total standard deviation σI (and mean μI) of the recurrent currents with the sum of individual components as given by the variance decomposition (Variance decomposition analysis), averaged over the excitatory neurons and over a period of 50 ms within each trial. (E) The contributions to the variance in recurrent currents from various sources are shown across circuits with different I-E ratio ζ. The numbers above the bars are the corresponding total variances averaged over excitatory neurons (nA2).