network_sim.py
-- runs the simulation for the model
-- requires parameters_sim.py script for loading neuron numbers and connection probabilities
parameters_sim.py
-- asks user input for network configuration (r) and corresponding excitatory (e) and inhibitory (i) neuron numbers in layer 2/3 (L2/3) and layer 4 (L4)
r = 0 (7.35 - L4 and 5.25 - L2/3)
L4 : n_e_4 = 1374 ; n_i_4 = 187
L2/3 : n_e_23 = 2232 ; n_i_23 = 425
r = 3
L4 : n_e_4 = 1374 ; n_i_4 = 458
L2/3 : n_e_23 = 2232 ; n_i_23 = 744
r = 4
L4 : n_e_4 = 1374 ; n_i_4 = 343
L2/3 : n_e_23 = 2232 ; n_i_23 = 558
r = 5
L4 : n_e_4 = 1374 ; n_i_4 = 274
L2/3 : n_e_23 = 2232 ; n_i_23 = 446