Fix for #529

pyNN/nest/projections.py

@@ -277,6 +277,8 @@ def _set_common_synapse_property(self, name, value):
                         "Projection was only partially initialized."
                         " Please call sim.nest.reset() to reset "
                         "your network and start over!".format(name))
+        if hasattr(value, "__len__"):
+            value = value[0]
         self._common_synapse_properties[name] = value
         nest.SetDefaults(self.nest_synapse_model, name, value)
 

test/system/test_nest.py

@@ -230,6 +230,47 @@ def test_native_electrode_types():
     assert_array_equal(vm[:, 2].magnitude, vm[:, 3].magnitude)
 
 
+def test_issue529():
+    # A combination of NEST Common synapse properties and FromListConnector doesn't work
+    if not have_nest:
+        raise SkipTest
+    import nest
+    sim = pyNN.nest
+
+    sim.setup()
+
+    iaf_neuron = sim.native_cell_type('iaf_psc_exp')
+    poisson = sim.native_cell_type('poisson_generator')
+
+    p1 = sim.Population(10, iaf_neuron(tau_m=20.0, tau_syn_ex=3., tau_syn_in=3.))
+    p2 = sim.Population(10, iaf_neuron(tau_m=20.0, tau_syn_ex=3., tau_syn_in=3.))
+
+    nest.SetStatus(list(p2), [{'tau_minus': 20.}])
+
+    stdp = sim.native_synapse_type("stdp_synapse_hom")(**{
+        'lambda': 0.005,
+        'mu_plus': 0.,
+        'mu_minus': 0.,
+        'alpha': 1.1,
+        'tau_plus': 20.,
+        'Wmax': 10.,
+    })
+
+    W = numpy.random.rand(5)
+
+    connections = [
+        (0, 0, W[0]),
+        (0, 1, W[1]),
+        (0, 2, W[2]),
+        (1, 5, W[3]),
+        (6, 1, W[4]),
+    ]
+
+    ee_connector = sim.FromListConnector(connections, column_names=["weight"])
+
+    prj_plastic = sim.Projection(p1, p2, ee_connector, receptor_type='excitatory', synapse_type=stdp)
+
+
 if __name__ == '__main__':
     #data = test_random_seeds()
     test_native_electrode_types()