Note
Click here to download the full example code
Two neuron example¶
This script simulates two connected pre- and postsynaptic neurons. The presynaptic neuron receives a constant external current, and the membrane potential of both neurons are recorded.
See Also¶
First, we import all necessary modules for simulation, analysis and plotting. Additionally, we set the verbosity to suppress info messages and reset the kernel.
import nest
import nest.voltage_trace
import matplotlib.pyplot as plt
nest.set_verbosity("M_WARNING")
nest.ResetKernel()
Second, we create the two neurons and the recording device.
neuron_1 = nest.Create("iaf_psc_alpha")
neuron_2 = nest.Create("iaf_psc_alpha")
voltmeter = nest.Create("voltmeter")
Third, we set the external current of neuron 1.
neuron_1.I_e = 376.0
Fourth, we connect neuron 1 to neuron 2. Then, we connect a voltmeter to the two neurons. To learn more about the previous steps, please check out the one neuron example.
weight = 20.0
delay = 1.0
nest.Connect(neuron_1, neuron_2, syn_spec={"weight": weight, "delay": delay})
nest.Connect(voltmeter, neuron_1)
nest.Connect(voltmeter, neuron_2)
Now we simulate the network using Simulate
, which takes the
desired simulation time in milliseconds.
nest.Simulate(1000.0)
Finally, we plot the neurons’ membrane potential as a function of time.
nest.voltage_trace.from_device(voltmeter)
plt.show()
Total running time of the script: ( 0 minutes 0.000 seconds)