def event_generators(self, gid):
"""two stimuli: one that makes the cell spike, the other to monitor STDP
"""
stimulus_times = numpy.linspace(50, 500, self.n_pairs)
# strong enough stimulus
spike = arbor.event_generator("synapse", 1., arbor.explicit_schedule(stimulus_times))
# zero weight -> just modify synaptic weight via stdp
stdp = arbor.event_generator("stpd_synapse", 0., arbor.explicit_schedule(stimulus_times - self.dT))
return [spike, stdp]
def test_event_generator_explicit_schedule(self):
cm = arb.cell_member(0, 42)
es = arb.explicit_schedule([0, 1, 2, 3, 4.4])
eg = arb.event_generator(cm, -0.01, es)
self.assertEqual(eg.target.gid, 0)
self.assertEqual(eg.target.index, 42)
self.assertAlmostEqual(eg.weight, -0.01)
def test_event_generator_poisson_schedule(self):
cm = arb.cell_member(4, 2)
ps = arb.poisson_schedule(0., 10., 0)
pg = arb.event_generator(cm, 42., ps)
self.assertEqual(pg.target.gid, 4)
self.assertEqual(pg.target.index, 2)
self.assertEqual(pg.weight, 42.)
def test_event_generator_regular_schedule(self):
cm = arb.cell_local_label("tgt0")
rs = arb.regular_schedule(2.0, 1., 100.)
rg = arb.event_generator(cm, 3.14, rs)
self.assertEqual(rg.target.label, "tgt0")
self.assertEqual(rg.target.policy, arb.selection_policy.univalent)
self.assertAlmostEqual(rg.weight, 3.14)
def test_event_generator_regular_schedule(self):
cm = arb.cell_member(42, 3)
rs = arb.regular_schedule(2.0, 1., 100.)
rg = arb.event_generator(cm, 3.14, rs)
self.assertEqual(rg.target.gid, 42)
self.assertEqual(rg.target.index, 3)
self.assertAlmostEqual(rg.weight, 3.14)
def test_event_generator_explicit_schedule(self):
cm = arb.cell_local_label("tgt1", arb.selection_policy.round_robin)
es = arb.explicit_schedule([0,1,2,3,4.4])
eg = arb.event_generator(cm, -0.01, es)
self.assertEqual(eg.target.label, "tgt1")
self.assertEqual(eg.target.policy, arb.selection_policy.round_robin)
self.assertAlmostEqual(eg.weight, -0.01)
def event_generators(self, gid):
sched_dt = 0.25
weight = 400
return [
A.event_generator((gid, 0), weight, A.regular_schedule(sched_dt))
for gid in range(0, self.num_cells())
]
def event_generators(self, gid):
if gid==0:
sched = arbor.explicit_schedule([1]) # one event at 1 ms
weight = 0.1 # 0.1 μS on expsyn
return [arbor.event_generator('syn', weight, sched)]
return []
def test_event_generator_poisson_schedule(self):
ps = arb.poisson_schedule(0., 10., 0)
pg = arb.event_generator("tgt2", 42., ps)
self.assertEqual(pg.target.label, "tgt2")
self.assertEqual(pg.target.policy, arb.selection_policy.univalent)
self.assertEqual(pg.weight, 42.)
def test_event_generator_regular_schedule(self):
rs = arb.regular_schedule(2.0, 1., 100.)
rg = arb.event_generator(3, 3.14, rs)
self.assertEqual(rg.target, 3)
self.assertAlmostEqual(rg.weight, 3.14)
def event_generators(self, gid):
print_v('Getting event_generators for: %s'%(gid))
if gid==0:
sched = arbor.explicit_schedule([1])
return [arbor.event_generator((0,0), 0.1, sched)]
return []
def event_generators(self, gid):
if gid==0:
sched = arbor.explicit_schedule([1])
weight = 0.1
return [arbor.event_generator('syn', weight, sched)]
return []
def test_event_generator_poisson_schedule(self):
ps = arb.poisson_schedule(0., 10., 0)
pg = arb.event_generator(2, 42., ps)
self.assertEqual(pg.target, 2)
self.assertEqual(pg.weight, 42.)
def test_event_generator_explicit_schedule(self):
es = arb.explicit_schedule([0,1,2,3,4.4])
eg = arb.event_generator(42, -0.01, es)
self.assertEqual(eg.target, 42)
self.assertAlmostEqual(eg.weight, -0.01)
def event_generators(self, gid):
t0 = 0
idx = 0
sched = arbor.poisson_schedule(t0, self.lambda_, gid + self.seed_)
return [arbor.event_generator(idx, self.weight_ext_, sched)]
def event_generators(self, gid):
if gid==0:
sched = arbor.explicit_schedule([1])
return [arbor.event_generator(arbor.cell_member(0,0), 0.1, sched)]
return []
def connections_on(self, gid):
src = (gid - 1) % self.ncells
w = 0.01
d = 5
weight = 0.1
return [arbor.event_generator(arbor.cell_member(0, 0), weight, sched)]
