Table 2. Parameters of the modified Potjans-Diesmann model.

population	L2/3e	L2/3i	L4e	L4i	L5e	L5i	L6e	L6i
τm [s]	0.01
τs [s]	0.0005
Δ [s]	0.0015
tref [s]	0.002
Δu [mV]	5.0
$\widehat{\mu }$ [mV]	19.149	20.362	30.805	28.069	29.437	29.33	34.932	32.081
$\widehat{r}$ [Hz]	0.974	2.861	4.673	5.65	8.141	9.013	0.988	7.53
adaptation: $\theta \left(t\right)=(J_{\theta }/{\tau }_{\theta })e^{-t/{\tau }_{\theta }}$ for t > tref
Jθ [mV s]	1.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0
τθ [s]	1.0	-	1.0	-	1.0	-	1.0	-
$u_{\text{rest}}=\widehat{\mu }+J_{\theta }\widehat{r}$ [mV]	20.123	20.362	35.478	28.069	37.578	29.33	35.92	32.081
step stimulus (“thalamic input”)
RIext [mV]	0.	0.	19.	11.964	0.	0.	9.896	3.788
μ(t) [mV]	urest + RIext for t ∈ [0.06s, 0.09s], else urest
network parameters
N	20683	5834	21915	5479	4850	1065	14395	2948
connection prob. pαβ	from population β
α = L2/3e	0.1009	0.1689	0.0437	0.0818	0.0323	0.0	0.0076	0.0
α = L2/3i	0.1346	0.1371	0.0316	0.0515	0.0755	0.0	0.0042	0.0
α = L4e	0.0077	0.0059	0.0497	0.135	0.0067	0.0003	0.0453	0.0
α = L4i	0.0691	0.0029	0.0794	0.1597	0.0033	0.0	0.1057	0.0
α = L5e	0.1004	0.0622	0.0505	0.0057	0.0831	0.3726	0.0204	0.0
α = L5i	0.0548	0.0269	0.0257	0.0022	0.06	0.3158	0.0086	0.0
α = L6e	0.0156	0.0066	0.0211	0.0166	0.0572	0.0197	0.0396	0.2252
α = L6i	0.0364	0.001	0.0034	0.0005	0.0277	0.008	0.0658	0.1443
wαβ [mV], α = L4e	0.176	-0.702	0.351	-0.702	0.176	-0.702	0.176	-0.702
wαβ [mV], α≠ L4e	0.176	-0.702	0.176	-0.702	0.176	-0.702	0.176	-0.702