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

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

neuron = nest.Create('aeif_cond_beta_multisynapse')
nest.SetStatus(neuron, {"V_peak": 0.0, "a": 4.0, "b": 80.5})
nest.SetStatus(neuron, {'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.get("events", "V_m")
ts = voltmeter.get("events", "times")

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