Table 4.

Synaptic connectivity of the multicompartment network model

Symbol	Value/definition	Description
${\stackrel{\circledR }{\mathrm{G}}}_{\mathrm{synYX}}$	$\left\{\begin{array}{c}0.15\mathrm{nS}\mathrm{for}\mathrm{X}=\mathrm{E},\mathrm{Y}=\mathrm{E}\hfill \\ 0.125\mathrm{nS}\mathrm{for}\mathrm{X}=\mathrm{E},\mathrm{Y}=\mathrm{I}\hfill \\ 4.5\mathrm{nS}\mathrm{for}\mathrm{X}=\mathrm{I},\mathrm{Y}=\mathrm{E}\hfill \\ 2.0\mathrm{nS}\mathrm{for}\mathrm{X}=\mathrm{I},\mathrm{Y}=\mathrm{I}\hfill \end{array}\right)$	Mean of the normal distribution that defines the maximum synaptic conductance of recurrent connections
σ(GsynYX)	$0.1{\stackrel{\circledR }{\mathrm{G}}}_{\mathrm{synYX}}$	Standard deviation of the maximum synaptic conductance
CYX	0.05 for all X, Y	Connection probability (pairwise Bernoulli, no autapses)
EsynX	0 mV for X = E, -80 mV for X = I	Synaptic reversal potential
fYX (t)	$\left(\frac{{\mathrm{e}}^{-(\mathrm{t}-{\mathrm{t}}_{\mathrm{s}})/{\mathrm{\tau }}_1}-{\mathrm{e}}^{-(\mathrm{t}-{\mathrm{t}}_{\mathrm{s}})/{\mathrm{\tau }}_2}}{{\mathrm{e}}^{-{\mathrm{\tau }}_{\mathrm{peak}}/{\mathrm{\tau }}_1}-{\mathrm{e}}^{-{\mathrm{\tau }}_{\mathrm{peak}}/{\mathrm{\tau }}_2}}\right)\mathrm{where}$ ${\mathrm{\tau }}_{\mathrm{peak}}=\frac{{\mathrm{\tau }}_2{\mathrm{\tau }}_1}{{\mathrm{\tau }}_2-{\mathrm{\tau }}_1}\log \left(\frac{{\mathrm{\tau }}_2}{{\mathrm{\tau }}_1}\right)$	Synaptic temporal kernel
τ1	0.2 ms for X = E, 0.1 ms for X = I	Synaptic rise time constant
τ2	1.8 ms for X = E, 9.0 ms for X = I	Synaptic decay time constant
${\stackrel{\circledR }{\mathrm{\Delta }}}_{\mathrm{YX}}$	$\left\{\begin{array}{c}1.5\mathrm{ms\; for\; X}=\mathrm{E},\mathrm{Y}=\mathrm{E}\\ 1.4\mathrm{ms\; for\; X}=\mathrm{E},\mathrm{Y}=\mathrm{I}\\ 1.3\mathrm{ms\; for\; X}=\mathrm{I},\mathrm{Y}=\mathrm{E}\\ 1.2\mathrm{ms\; for\; X}=\mathrm{I},\mathrm{Y}=\mathrm{I}\end{array}\right)$	Mean of the truncated normal distribution that defines the conduction delay (truncated at 0.3 ms)
σ(ΔYX)	$\left\{\begin{array}{c}0.3\mathrm{ms\; for\; X}=\mathrm{E},\mathrm{Y}=\mathrm{E}\\ 0.4\mathrm{ms\; for\; X}=\mathrm{E},\mathrm{Y}=\mathrm{I}\\ 0.5\mathrm{ms\; for\; X}=\mathrm{I},\mathrm{Y}=\mathrm{E}\\ 0.6\mathrm{ms\; for\; X}=\mathrm{I},\mathrm{Y}=\mathrm{I}\end{array}\right)$	Standard deviation of conduction delays
LYX (z)	$\left\{\begin{array}{c}\begin{array}{c}\hfill \frac{\mathcal{N}\left(0,100\right)}{2}\mathcal{+}\mathcal{N}\left(500,100\right),\mathrm{for}\mathrm{X}=\mathrm{E},\mathrm{Y}=\mathrm{E},\mathcal{S}\left\{\mathrm{soma}\right\}\hfill \\ \hfill \hfill \end{array}\hfill \\ \mathcal{N}\left(50,100\right)\mathrm{for}\mathrm{X}=\mathrm{E},\mathrm{Y}=\mathrm{I},\mathcal{S}\left\{\mathrm{soma}\right\}\hfill \\ \mathcal{N}\left(-50,100\right)\mathrm{for}\mathrm{X}=\mathrm{I},\mathrm{Y}=\mathrm{E}\hfill \\ \mathcal{N}\left(-100,100\right)\mathrm{for}\mathrm{X}=\mathrm{I},\mathrm{Y}=\mathrm{I}\hfill \end{array}\right)$	Normal distributions that define synaptic density in the z-axis
${\stackrel{\circledR }{\mathrm{G}}}_{\mathrm{synYext}}$	0.2 nS	External synapse conductance
Eext	0 mV	Ext. synapse rev. potential
fYext (t)	fYX (t)	Ext. synapse temporal kernel
τ1	0.2 ms	Ext. synapse rise time constant
τ2	1.8 ms	Ext. synapse decay time constant
kYext	{465, 160}	Number of ext. synapses per neuron
$〈{\mathrm{\upsilon }}_{\mathrm{ext}}〉$	40 s−1 (Poisson statistics)	Ext. syn. activation rate
${\stackrel{\circledR }{\mathrm{\Delta }}}_{\mathrm{Yext}}$	δ(t)	Ext. syn. conduction delay
LYext	1	Ext. syn. depth dependence