test_config_randomnet.json

{
	"simulation" : 
	{
		"description" : "Network of 2000 neurons, without background input, connectivity randomly generated",
		"short_description" : "randomnet",
		"runtime" : 0.2,
		"dt" : 0.2,
		"dt_ff" : 50000,
		"output_period" : 1,
		"reduced_data" : 0,
		"learn_protocol": { },
		"recall_protocol": { },
		"bg_protocol": { },
		"sample_gid_list": [ ],
		"sample_syn_list": [ ],
		"sample_curr": 0
	},
	"populations" :
	{
		"N_exc" : 1600,
		"N_inh" : 400,
		"N_CA" : 150,
		"w_ei" : 2.0, 
		"w_ie" : 4.0,
		"w_ii" : 4.0,
		"p_c" : 0.1,
		"p_r" : 0.5,
		"conn_file": ""
	},
	"neuron" : 
	{
		"mechanism" : "lif",
		"V_init" : -65.0,
		"V_rev" : -65.0,
		"V_reset" : -70.0,
		"V_th" : -55.0,
		"R_leak" : 10.0,
		"R_reset" : 1e-10,
		"C_mem" : 1e-9,
		"t_ref" : 2.0,
		"radius" : 1e-3
	},
	"synapses" : 
	{
		"tau_syn" : 5.0,
		"t_ax_delay" : 3.0,
		"syn_exc_calcium_plasticity" : 
		{
			"h_0" : 4.20075,
			"t_Ca_delay" : 18.8,
			"Ca_pre" : 0.6,
			"Ca_post" : 0.1655,
            "sigma_pl" : 2.90436,
			"theta_p" : 3.0,
			"theta_d" : 1.2,
			"theta_pro" : 2.10037,
			"theta_tag" : 0.840149,
			"tau_h" : 688400,
			"tau_z" : 3600000,
			"tau_Ca" : 48.8,
			"tau_p" : 3600000			
		}
	}
}