add two neuron example

examples/two_neuron_example.py

@@ -0,0 +1,53 @@
+"""
+Two Neuron Example translations from NEST into PyNN.
+"""
+
+import pyNN.nest as sim
+from pyNN.utility.plotting import Figure, Panel 
+import matplotlib.pyplot as plt
+
+sim.setup(timestep=0.1) # (ms)
+
+cell_params = {
+    "v_rest": -70.0, # (mV)
+    "v_reset": -70.0, # (mV)
+    "cm": 0.250, # (nF)
+    "tau_m": 10, # (ms)
+    "tau_refrac": 2, # (ms)
+    "tau_syn_E": 2, # (ms)
+    "tau_syn_I": 2, # (ms)
+    "v_thresh": -55.0, # (mV)
+    "i_offset": 0, # (nA)
+}
+
+cell_type = sim.IF_curr_alpha(**cell_params)
+
+neuron1 = sim.Population(1, cell_type, label="Neuron 1")
+neuron1.set(i_offset=0.376)
+neuron1.record("v")
+
+neuron2 = sim.Population(1, cell_type, label="Neuron 2")
+neuron2.record("v")
+
+syn = sim.StaticSynapse(weight=0.02, delay=1.0)
+
+projection1 = sim.Projection(neuron1, neuron2, sim.AllToAllConnector(), syn)
+
+sim.run(1000)
+
+neuron1_data_v = neuron1.get_data().segments[0].filter(name="v")[0]
+neuron2_data_v = neuron2.get_data().segments[0].filter(name="v")[0]
+
+Figure(
+    Panel(neuron1_data_v[:,0],
+          xticks=True,
+          yticks=True,
+          xlabel="Time (in ms)",
+          ylabel="Membrane Potential (in mV)"),
+    Panel(neuron2_data_v[:,0],
+          xticks=True,
+          yticks=True,
+          xlabel="Time (in ms)",
+          ylabel="Membrane Potential (in mV)")
+).show()
+