Figure 2.

(A) Schematic representation of the neural network where g_e is the intensity of excitatory synaptic conductance and $g_{\text{e}}^{\text{aut}}$ of the excitatory autaptic conductance. Parameter space $g_{\text{e}}\times g_{\text{e}}^{\text{aut}}$, where the color bars correspond to (B) $\overline{R}$, (C) ${\overline{R}}_{\text{non}}$, (D) ${\overline{R}}_{\text{aut}}$, (E) $\overline{\text{CV}}$, (F) $\overline{F}$, and (G) ${\overline{I}}_{\text{s}}$. The raster plots of the parameters indicated in (B–D) (circle, square, triangle, and hexagon) are shown in Figure 3. The vertical and horizontal white, dash, lines in (F) are used to vary $g_{\text{e}}^{\text{aut}}$ and g_e in the computations in Figures 4A,B, respectively. The closed loop in (A) corresponds to an autapse of excitatory autaptic conductance $g_{\text{e}}^{\text{aut}}$.