Table 3. Synaptic and structural parameters in the microcircuit.

Each of the nine connection types (which can be grouped as indicated) is characterized by a specific connection density, weight and delay. In the homogeneous condition, weights and delays are fixed and equal to the mean values (${\mu }_{\mathrm{w}}^{\text{syn}}$, ${\mu }_{\mathrm{d}}^{\text{syn}}$) for all synapses of a given type, whereas in the heterogeneous condition they are independently drawn from lognormal distributions with the corresponding mean and standard deviation. The last two rows in the table are the connection-specific structural bias parameters, used to skew the network’s degree and weight distributions. The indicated values were taken directly from [110] and [71]. The cases marked with—or x, correspond to connections that were either tested, revealing no significant effect (-) or untested due to missing data (x). In both cases, we set the corresponding values to 0.

Parameter	Connection Types									Description
	synE			synI
	EE	IE		EI		II
	E → E	E → I1	E → I2	I1 → E	I2 → E	I1 → I1	I1 → I2	I2 → I1	I2 → I2
psyn[%]	16.8	57.5	24.4	60	46.5	55	24.1	37.9	38.1	Connection density
${\mu }_{\mathrm{w}}^{\text{syn}}$	0.45	1.65	0.638	5.148	4.85	2.22	1.4	1.47	0.83	Synaptic weights
${\sigma }_{\mathrm{w}}^{\text{syn}}$	0.10	0.10	0.11	0.11	0.11	0.14	0.25	0.10	0.2
${\mu }_{\mathrm{d}}^{\text{syn}}$	1.8	1.2	1.5	0.8	1.5	1	1.2	1.5	1.5	Synaptic delays
${\sigma }_{\mathrm{d}}^{\text{syn}}$	0.25	0.2	0.2	0.1	0.2	0.1	0.3	0.5	0.3
${\mathrm{k}}_{\text{in}}^{\text{syn}}$	5	5	0	-	0	-	-	x	x	Degree distribution bias
${\mathrm{k}}_{\text{out}}^{\text{syn}}$	5	0	0	-	-	0	-	x	x
${\mathrm{c}}_{\text{in}}^{\text{syn}}$	1	1	1	-	x	-	-	x	x	Weight correlation bias
${\mathrm{c}}_{\text{out}}^{\text{syn}}$	0	1	0	-	x	0	-	x	x