def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.net1 = nest.Population((10, ), nest.IF_curr_alpha)
self.net2 = nest.Population((2, 4, 3), nest.IF_curr_exp)
self.net3 = nest.Population((2, 2, 1), nest.SpikeSourceArray)
self.net4 = nest.Population((1, 2, 1), nest.SpikeSourceArray)
self.net5 = nest.Population((3, 3), nest.IF_cond_exp)
def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.target33 = nest.Population((3, 3), nest.IF_curr_alpha)
self.target6 = nest.Population((6, ), nest.IF_curr_alpha)
self.source5 = nest.Population((5, ), nest.SpikeSourcePoisson)
self.source22 = nest.Population((2, 2), nest.SpikeSourcePoisson)
self.source33 = nest.Population((3, 3), nest.SpikeSourcePoisson)
def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.target33 = nest.Population((3, 3), nest.IF_curr_alpha)
self.target6 = nest.Population((6, ), nest.IF_curr_alpha)
self.source5 = nest.Population((5, ), nest.SpikeSourcePoisson)
self.source22 = nest.Population((2, 2), nest.SpikeSourcePoisson)
self.prjlist = []
self.distrib_Numpy = random.RandomDistribution(
rng=random.NumpyRNG(12345),
distribution='uniform',
parameters=(0.1, 0.5))
for tgtP in [self.target6, self.target33]:
for srcP in [self.source5, self.source22]:
for method in ('allToAll', 'fixedProbability'):
self.prjlist.append(
nest.Projection(srcP, tgtP, method,
{'p_connect': 0.5}))
def setUp(self):
nest.setup(timestep=0.1, max_delay=5.0)
self.postcells = nest.create(nest.IF_curr_alpha, n=3)
self.precells = nest.create(nest.SpikeSourcePoisson, n=5)
def setUp(self):
nest.setup(max_delay=0.5)
nest.Population.nPop = 0
self.pop1 = nest.Population((5, ), nest.IF_curr_alpha, {'tau_m': 10.0})
self.pop2 = nest.Population((5, 4), nest.IF_curr_exp,
{'v_reset': -60.0})
def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.pop1 = nest.Population((3, 3), nest.SpikeSourcePoisson,
{'rate': 20.})
self.pop2 = nest.Population((3, 3), nest.IF_curr_alpha)
def setUp(self):
nest.setup()
nest.Population.nPop = 0
self.net = nest.Population((3, 3), nest.IF_curr_alpha)
self.net2 = nest.Population((5, ), 'iaf_neuron')
def setUp(self):
nest.setup()
nest.Population.nPop = 0
def setUp(self):
nest.setup()
def setUp(self):
nest.setup()
self.ifcell = nest.create(nest.IF_curr_alpha, {'i_offset': 1.0})