Figure 3.

Test of the algorithm on synthetic data with free synaptic efficacies. A, Reduced χ² values versus Euclidean distance from the real parameter set obtained running the fitting algorithm starting from 50 different initial conditions. The red points correspond to χ² values with p < 0.05 and the black points to p > 0.05. The parameter set is composed by 10 parameters (ν_E, ν_I, σ_E, σ_I, σ_OU, τ_OU, J_EE, J_EI, J_IE, J_II). B, Distribution of the parameters describing the synaptic efficacies obtained by keeping only the cases in which the χ² had p < 0.05 (red points in A). Vertical lines denote median of the distribution (red) and true values of the parameters (black). C, Distributions of the parameters that depend on the input variations obtained by keeping only the cases in which the χ² had p < 0.05. Vertical lines are as in B. In both B and C, the distributions are broad, but the median values approximate well the values used to generate the data.