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. 2010 Apr 28;30(17):5894–5911. doi: 10.1523/JNEUROSCI.5540-09.2010

Figure 8.

Figure 8.

a, Power-law distribution of single-cell firing rate for different network simulations in log-log scale. Main, Constant excitatory input, with connectivities of 0.06 (red squares), 0.1 (black circles), and 0.2 (green diamonds). Inset, Fluctuating excitatory input, connectivities of 0.15 (blue up triangle) and 0.1 (brown down triangle). The time series all have very long length of 10 min. b, Exponential tailed power-law cumulative ISI distributions for some of the individual cells for the long 10 min network simulation with connectivity p = 0.15 and fluctuating excitatory inputs whose firing rate distribution is shown in a (inset), in log-linear scale (main, left inset) and log-log scale (right inset). Cells are shown by different colors. The two insets show different magnifications of the same simulation. c, Solid colored lines, Several time-lagged cross-correlation coefficients for randomly chosen cells from the same simulation studied in b with fluctuating excitatory inputs. Dashed black line, Autocorrelation coefficient for a single randomly chosen cell. The main figure shows results calculated with 1000 ms bin size and the inset with 20 ms bins. d, Solid colored lines, Several time-lagged cross-correlation coefficients for randomly chosen cells from the long 10 min network simulation with connectivity p = 0.2 and constant excitatory inputs whose firing rate distribution is shown in a. Dashed black line, Autocorrelation coefficient for a single randomly chosen cell. The main figure shows results calculated with 1000 ms bin size and the inset with 20 ms bins.