Figure 1. Manipulations of ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{A}\mathit{N}}$ in the ${\mathit{C}\mathit{a}}_{\mathit{V}}$ and ${\mathit{C}\mathit{a}}_{\mathit{S}\mathit{y}\mathit{n}}$ networks produce opposite effects on network activity amplitude (spikes/s) and frequency.

(A and B) Histograms of neuronal population activity amplitude in the ${\mathit{C}\mathit{a}}_{\mathit{V}}$, and ${\mathit{C}\mathit{a}}_{\mathit{S}\mathit{y}\mathit{n}}$ networks with linearly increasing ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{A}\mathit{N}}$. (C) Plot of ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{A}\mathit{N}}$ (% of the baseline mean value for the simulated population) vs. network activity amplitude for the ${\mathit{C}\mathit{a}}_{\mathit{V}}$ and ${\mathit{C}\mathit{a}}_{\mathit{S}\mathit{y}\mathit{n}}$ networks in A and B. (D) Plot of ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{A}\mathit{N}}$ (%) vs. network frequency for the ${\mathit{C}\mathit{a}}_{\mathit{V}}$ and ${\mathit{C}\mathit{a}}_{\mathit{S}\mathit{y}\mathit{n}}$ networks in A and B. ${\mathit{C}\mathit{a}}_{\mathit{V}}$ network parameters: ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{a}}=1.0\mathit{}\left(\mathit{n}\mathit{S}\right)$, ${\mathit{P}}_{\mathit{C}\mathit{a}}=0.0$, ${\mathit{P}}_{\mathit{S}\mathit{y}\mathit{n}}=0.05$ and ${\mathit{W}}_{\mathit{m}\mathit{a}\mathit{x}}=0.2\mathit{}\left(\mathit{n}\mathit{S}\right)$. ${\mathit{C}\mathit{a}}_{\mathit{S}\mathit{y}\mathit{n}}$ network parameters: ${\stackrel{-}{\mathit{g}}}_{\mathit{C}\mathit{a}}=0\mathit{}\left(\mathit{n}\mathit{S}\right)$, ${\mathit{P}}_{\mathit{C}\mathit{a}}=0.01$, ${\mathit{P}}_{\mathit{S}\mathit{y}\mathit{n}}=0.05$ and ${\mathit{W}}_{\mathit{m}\mathit{a}\mathit{x}}=0.2\mathit{}\left(\mathit{n}\mathit{S}\right)$.