Example of an AEIF neuron with multiple synaptic rise and decay time constants

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import matplotlib.pyplot as plt
import nest
import numpy as np

neuron = nest.Create(
    "aeif_cond_beta_multisynapse",
    params={
        "V_peak": 0.0,
        "a": 4.0,
        "b": 80.5,
        "E_rev": [0.0, 0.0, 0.0, -85.0],
        "tau_decay": [50.0, 20.0, 20.0, 20.0],
        "tau_rise": [10.0, 10.0, 1.0, 1.0],
    },
)

spike = nest.Create("spike_generator", params={"spike_times": np.array([10.0])})

voltmeter = nest.Create("voltmeter")

delays = [1.0, 300.0, 500.0, 700.0]
w = [1.0, 1.0, 1.0, 1.0]
for syn in range(4):
    nest.Connect(
        spike,
        neuron,
        syn_spec={"synapse_model": "static_synapse", "receptor_type": 1 + syn, "weight": w[syn], "delay": delays[syn]},
    )

nest.Connect(voltmeter, neuron)

nest.Simulate(1000.0)

Vms = voltmeter.events["V_m"]
ts = voltmeter.events["times"]

plt.plot(ts, Vms)
plt.show()