Warning
This version of the documentation is NOT an official release. You are looking at ‘latest’, which is in active and ongoing development. You can change versions on the bottom left of the screen.
Note
Click here to download the full example code
aeif_cond_beta_multisynapse¶
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()
Total running time of the script: ( 0 minutes 0.000 seconds)