Ejemplo n.º 1
0
    def test_GetTargetNodes(self):
        """Interface check for finding targets."""

        cdict = {
            'rule': 'pairwise_bernoulli',
            'p': 1.,
            'mask': {
                'grid': {
                    'shape': [2, 2]
                }
            }
        }
        sdict = {'synapse_model': 'stdp_synapse'}
        nest.ResetKernel()
        nest.SetKernelStatus({
            'sort_connections_by_source': False,
            'use_compressed_spikes': False
        })

        layer = nest.Create('iaf_psc_alpha',
                            positions=nest.spatial.grid(shape=[3, 3],
                                                        extent=(2., 2.),
                                                        edge_wrap=True))

        # connect layer -> layer
        nest.Connect(layer, layer, cdict, sdict)

        t = nest.GetTargetNodes(layer[0], layer)
        self.assertEqual(len(t), 1)

        t = nest.GetTargetNodes(layer, layer)
        self.assertEqual(len(t), len(layer))
        # 2x2 mask -> four targets
        self.assertTrue(all([len(g) == 4 for g in t]))

        t = nest.GetTargetNodes(layer, layer, syn_model='static_synapse')
        self.assertEqual(len(t), len(layer))
        self.assertTrue(all([len(g) == 0 for g in t]))  # no static syns

        t = nest.GetTargetNodes(layer, layer, syn_model='stdp_synapse')
        self.assertEqual(len(t), len(layer))
        self.assertTrue(all([len(g) == 4
                             for g in t]))  # 2x2 mask  -> four targets

        t = nest.GetTargetNodes(layer[0], layer)
        self.assertEqual(len(t), 1)
        self.assertEqual(t[0], nest.NodeCollection([1, 2, 4, 5]))

        t = nest.GetTargetNodes(layer[4], layer)
        self.assertEqual(len(t), 1)
        self.assertEqual(t[0], nest.NodeCollection([5, 6, 8, 9]))

        t = nest.GetTargetNodes(layer[8], layer)
        self.assertEqual(len(t), 1)
        self.assertEqual(t[0], nest.NodeCollection([1, 3, 7, 9]))
Ejemplo n.º 2
0
# extract position information, transpose to list of x, y and z positions
xpos, ypos, zpos = zip(*nest.GetPosition(l1))
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(xpos, ypos, zpos, s=15, facecolor='b')

# Gaussian connections in full box volume [-0.75,0.75]**3
nest.Connect(l1, l1,
             {'rule': 'pairwise_bernoulli',
              'p': nest.spatial_distributions.gaussian(nest.spatial.distance, std=0.25),
              'allow_autapses': False,
              'mask': {'box': {'lower_left': [-0.75, -0.75, -0.75],
                               'upper_right': [0.75, 0.75, 0.75]}}})

# show connections from center element
# sender shown in red, targets in green
ctr = nest.FindCenterElement(l1)
xtgt, ytgt, ztgt = zip(*nest.GetTargetPositions(ctr, l1)[0])
xctr, yctr, zctr = nest.GetPosition(ctr)
ax.scatter([xctr], [yctr], [zctr], s=40, facecolor='r')
ax.scatter(xtgt, ytgt, ztgt, s=40, facecolor='g', edgecolor='g')

tgts = nest.GetTargetNodes(ctr, l1)[0]
distances = nest.Distance(ctr, l1)
tgt_distances = [d for i, d in enumerate(distances) if i + 1 in tgts]

plt.figure()
plt.hist(tgt_distances, 25)
plt.show()