[NEST Users] Finding the right parameters for the balanced network

Dear Nest Users, I hope all of you be in health during these times. I want to create a balanced network as it’s the first step of my master thesis. The model I want to use is “iaf_cond_exp” which is a must for later purposes. There’s an example in Pynest folder of a balanced network, unless it’s using “iaf_psc_alpha” and it doesn’t fit my goals. When I try to change the model, and run the program, the network doesn’t get active and there’s nothing to record. I divided my question into two part: - Does anyone have a balanced network with “iaf_cond_exp” neurons and all of its necessary parameters to run? - In general, how do people find or calculate their network parameters to fit the neuron model they use and don’t get lost in the massive number of parameters. Note: I also tried to use the example of “brunel_alpha_evolution_strategies.py” example which is a genetic algorithm to find the best parameter, although it finds the parameters after 50 generation, I use those parameters afterwards. It just doesn’t work! Kind regards, Nosratullah Mohammadi