Table 1.

Model parameters

Parameters for both full and reduced models:
N	number of chains	1020	–
p	number of pools	51020	–
L mean	mean chain length (p/N)	50.02	–
L	vector of N chain lengths	40–60	–
G μ	mean chain strength	0.005	–
G σ	chain strength variability	0–0.002	–
G	vector of N chain strengths	∼N(G μ, G σ)	–
Suc	$\left[N\right]\to \left[N\right]\times \left[N\right]$ chain coupling map	random	–
S	N×N adjacency matrix of chain couplings	$S_{\mathrm{yx}}={\mathbb{𝟙}}_{y\in \text{Suc}\left(x\right)}$	–
Parameters for full model only:
N E	number of excitatory neurons	80000	–
N I	number of inhibitory neurons	20000	–
C E	mean number of excitatory afferents per neuron	8000	–
C I	mean number of inhibitory afferents per neuron	2000	–
n E	size of excitatory pools	112	–
n I	size of inhibitory pools	28	–
V E	excitatory reversal potential	0	mV
V I	inhibitory reversal potential	−80	mV
V P	resting potential	−70	mV
V R	reset potential	−70	mV
V Θ	spike threshold	−55	mV
τ P	passive membrane time constant	20	ms
τ ref	refractory period	2	ms
g I	inhibitory synaptic conductance	0.11	–
${\tau }_{min}$	minimum transmission delay	0.5	ms
τ A	link delay spread	4.0	ms
τ B	intra-link delay spread	0.5	ms