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. 2019 Oct 25;15(10):e1007432. doi: 10.1371/journal.pcbi.1007432

Table 2. Parameter values for the networks (top), for the connections (middle) and for an external input (bottom) in I network model.

I network model
Name Value Description
Neuron model Integrate and fire
nrow, ncol 100 number of rows/columns in a network layer
npop nrow * ncol = 10,000 number of neurons
Synapse model α function, current-based model
κ 4 Shape for gamma distribution function
θ 3 Scale for gamma distribution function
pconn 0.1 Average connection probability of target neurons
nconn pconn * npop = 1000 Number of recurrent connections per neuron
Jrec Jx = -0.22 mV Synaptic weight of recurrent inhibitory connections
μGWN 700.0 pA Mean of external GWN input
σGWN 100.0 pA Standard deviation of external GWN input