def test_PoissonInputNeuron():
if have_pcsim:
import pypcsim as pcs
import numpy
net = pcs.SingleThreadNetwork()
inputs1 = [net.create(pcs.PoissonInputNeuron(rate=20.0, duration=1e6)) for i in range(5)]
inputs2 = [net.create(pcs.PoissonInputNeuron(rate=40.0, duration=1e6)) for i in range(5)]
recorders = [net.object(net.record(input, pcs.SpikeTimeRecorder())) for input in inputs1+inputs2]
net.simulate(10.0)
spike_counts = numpy.array([recorder.spikeCount() for recorder in recorders])
assert (100 < spike_counts[:5]).all()
assert (300 > spike_counts[:5]).all()
assert (300 < spike_counts[5:]).all()
assert (500 > spike_counts[5:]).all()
else:
raise SkipTest
def __init__(self, parameters):
cells.SpikeSourcePoisson.__init__(self, parameters)
self.simObjFactory = pypcsim.PoissonInputNeuron(**self.parameters)