def test_get_sequence_param(self):
p = sim.Population(3, sim.SpikeSourceArray(spike_times=[Sequence([1, 2, 3, 4]),
Sequence([2, 3, 4, 5]),
Sequence([3, 4, 5, 6])]))
spike_times = p.get('spike_times')
self.assertEqual(spike_times.size, 3)
assert_array_equal(spike_times[1], Sequence([2, 3, 4, 5]))
def test_SpikeSourceArray(self):
spike_times = [50.]
p = sim.Population(3, sim.SpikeSourceArray(spike_times=spike_times))
p2 = sim.Population(3, sim.Hardware_IF_cond_exp())
syn = sim.StaticSynapse(weight=0.012)
con = sim.Projection(p,
p2,
connector=sim.OneToOneConnector(),
synapse_type=syn,
receptor_type='excitatory')
spike_times_g = p.get('spike_times')
p2.record('v')
sim.run(100.0)
weights = nan_to_num(con.get('weight', format="array"))
print weights
data = p2.get_data().segments[0]
vm = data.filter(name="v")[0]
print vm
Figure(
Panel(weights,
data_labels=["ext->cell"],
line_properties=[{
'xticks': True,
'yticks': True,
'cmap': 'Greys'
}]),
Panel(vm,
ylabel="Membrane potential (mV)",
data_labels=["excitatory", "excitatory"],
line_properties=[{
'xticks': True,
'yticks': True
}]),
).save("result")
def test_set_sequence(self):
p = sim.Population(3, sim.SpikeSourceArray())
p.set(spike_times=[Sequence([1, 2, 3, 4]),
Sequence([2, 3, 4, 5]),
Sequence([3, 4, 5, 6])])
spike_times = p.get('spike_times', gather=True)
self.assertEqual(spike_times.size, 3)
assert_array_equal(spike_times[1], Sequence([2, 3, 4, 5]))
def test___add__three(self):
# adding three populations should give an Assembly
p1 = sim.Population(6, IF_cond_exp())
p2 = sim.Population(17, EIF_cond_exp_isfa_ista())
p3 = sim.Population(9, sim.SpikeSourceArray())
assembly = p1 + p2 + p3
self.assertIsInstance(assembly, sim.Assembly)
self.assertEqual(assembly.populations, [p1, p2, p3])
def test_inject_into_invalid_celltype(self):
pv = sim.Population(3, sim.SpikeSourceArray())[:2]
self.assertRaises(TypeError, pv.inject, Mock())
