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198	198	Now if we run our simulation again, we can see the effect of this heterogeneity in the neuron population.
199	199
200		-TO BE COMPLETED
	200	+(% class="box successmessage" %)
	201	+(((
	202	+**Slide** showing addition of second population, and of connections between them
	203	+)))
201	201
	205	+(% class="wikigeneratedid" %)
	206	+So far we have a population of neurons, but there are no connections between them, we don't have a network. Let's add a second population of the same size as the first, but we'll set the offset current to zero, so they don't fire action potentials spontaneously.
	207	+
	208	+(% class="box infomessage" %)
	209	+(((
	210	+**Screencast** - current state of editor
	211	+\\(% style="color:#000000" %)"""Simple network model using PyNN"""
	212	+\\import pyNN.nest as sim(%%)
	213	+(% style="color:#000000" %)from pyNN.utility.plotting import Figure, Panel(%%)
	214	+(% style="color:#000000" %)from pyNN.random import RandomDistribution(%%)
	215	+(% style="color:#000000" %)sim.setup(timestep=0.1)(%%)
	216	+(% style="color:#000000" %)cell_type  = sim.IF_curr_exp(
	217	+ (% style="color:#e74c3c" %) (% style="color:#000000" %)v_rest=RandomDistribution('normal', {'mu': -65.0, 'sigma': 1.0}),
	218	+ v_thresh=RandomDistribution('normal', {'mu': -55.0, 'sigma': 1.0}),
	219	+ v_reset=RandomDistribution('normal', {'mu': -65.0, 'sigma': 1.0}), (%%)
	220	+(% style="color:#000000" %) t_refrac=1, tau_m=10, cm=1, i_offset=0.1)(%%)
	221	+(% style="color:#000000" %)population1 = sim.Population(100, cell_type, label="Population 1")(%%)
	222	+(% style="color:#000000" %)population1.record("v")
	223	+sim.run(100.0)(%%)
	224	+(% style="color:#000000" %)data_v = population1.get_data().segments[0].filter(name='v')[0]
	225	+Figure(
	226	+ Panel(
	227	+ data_v[:, 0:5],
	228	+ xticks=True, xlabel="Time (ms)",
	229	+ yticks=True, ylabel="Membrane potential (mV)"
	230	+ ),
	231	+ title="Response of first five neurons with heterogeneous parameters",
	232	+ annotations="Simulated with NEST"
	233	+).show()(%%)
	234	+\\**Run script in terminal, show figure**
	235	+)))
	236	+
	237	+
202	202	(% class="wikigeneratedid" id="HSummary28Inthistutorial2CyouhavelearnedtodoX202629" %)
203	203	(% class="small" %)**Summary (In this tutorial, you have learned to do X…)**
204	204