def test_ensemble(Simulator):
with nengo.Network(seed=1) as model:
stim = nengo.Node([0.5])
ens = nengo.Ensemble(40, dimensions=1)
nengo.Connection(stim, ens)
probe = nengo.Probe(ens, synapse=0.05)
sim = Simulator(model)
sim.run(0.5)
assert np.allclose(sim.data[probe][sim.trange() > 0.4], 0.5, atol=0.1)
def test_ensemble(Simulator):
with nengo.Network(seed=1) as model:
stim = nengo.Node([0.5])
ens = nengo.Ensemble(40, dimensions=1)
nengo.Connection(stim, ens)
probe = nengo.Probe(ens, synapse=0.05)
sim = Simulator(model)
sim.run(0.5)
assert np.allclose(
sim.data[probe][sim.trange() > 0.4], 0.5, atol=0.1)
def test_ensemble(Simulator, nl, seed, analytics, plt):
with nengo.Network(seed=seed) as model:
model.config[nengo.Ensemble].neuron_type = nl()
stim = nengo.Node([0.5])
ens = nengo.Ensemble(40, dimensions=1)
nengo.Connection(stim, ens)
probe = nengo.Probe(ens, synapse=0.05)
sim = Simulator(model)
sim.run(0.5)
plt.plot(sim.trange(), sim.data[probe])
analytics.add_data('out', sim.data[probe], "decoded out")
assert np.allclose(
sim.data[probe][sim.trange() > 0.4], 0.5, atol=0.1)
def test_ensemble(Simulator, nl, seed, plt):
with nengo.Network(seed=seed) as model:
model.config[nengo.Ensemble].neuron_type = nl()
stim = nengo.Node([0.5])
ens = nengo.Ensemble(40, dimensions=1)
nengo.Connection(stim, ens)
probe = nengo.Probe(ens, synapse=0.05)
sim = Simulator(model)
sim.run(0.5)
plt.plot(sim.trange(), sim.data[probe])
assert np.allclose(sim.data[probe][sim.trange() > 0.4], 0.5, atol=0.1)
def test_ensemble(Simulator, nl, seed, analytics, logger, plt):
with nengo.Network(seed=seed) as model:
model.config[nengo.Ensemble].neuron_type = nl()
stim = nengo.Node([0.5])
ens = nengo.Ensemble(40, dimensions=1)
nengo.Connection(stim, ens)
probe = nengo.Probe(ens, synapse=0.05)
sim = Simulator(model)
sim.run(0.5)
plt.plot(sim.trange(), sim.data[probe])
analytics.add_data('out', sim.data[probe], "decoded out")
logger.info('RMSE=%f', nengo.utils.numpy.rmse(
sim.data[probe][sim.trange() > 0.4], 0.5))
assert np.allclose(
sim.data[probe][sim.trange() > 0.4], 0.5, atol=0.1)
