def testPMapping(self):
N = 30
p = 0.5
pyAex.MAPVERS = 3
s = create_default_population(self.nsetup, 'seq', N)
t = create_default_population(self.nsetup, 'ifslwta', N)
t2 = create_default_population(self.nsetup,
'ifslwta',
124 - N,
offset=N)
mon = self.nsetup.monitors.import_monitors_otf(t)[0]
mon_zero = self.nsetup.monitors.import_monitors_otf(t2)[0]
m = pyNCS.PMapping('')
m.__connect_random_all2all__(s.soma, t.synapses['excitatory0'], p=p)
m.__connect_one2one__(s.soma, t.synapses['excitatory0'])
P = int(p * 127)
for i in s.soma.paddr:
for j in t.synapses['excitatory0'].paddr:
self.assert_([i, j, P] in m.mapping)
for n in range(len(s.soma.paddr)):
self.assert_(
[s.soma.paddr[n], t.synapses['excitatory0'].paddr[n], P
] in m.mapping)
self.nsetup.mapping.merge(m)
self.nsetup.prepare()
self.nsetup.chips['ifslwta'].set_parameter('nsynstdw0', .5)
input_stim = s.soma.spiketrains_poisson(400)
out = self.nsetup.run(input_stim)
self.assertTrue(
np.all(350 > mon.sl.mean_rates())
and np.all(mon.sl.mean_rates() > 100))
self.assertTrue(np.all(mon_zero.sl.mean_rates() < 2))
def testPMappingLarge(self):
N=124
p=0.5
#pyAex.MAPVERS=3
s=create_default_population(self.nsetup, 'seq', N)
t=create_default_population(self.nsetup, 'ifslwta', N)
m=pyNCS.PMapping('')
M = np.random.randint(0,2,size=(len(s.soma),2))
m.mapping.extend(np.random.randint(0,50000,size=(500000,2)))
for j in xrange(len(s)):
print j
m.connect(s.soma[j], t.synapses['inhibitory'][(j*2):((j+1)*2)], fashion = 'by_boolean_matrix', fashion_kwargs={'connection': M[[j],:]})