많은 neuron으로 sine wave 표현하기

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
 
import nengo
from nengo.dists import Uniform
 
model = nengo.Network(label='Many Neurons')
 
with model:
    A = nengo.Ensemble(100, dimensions=1)
    sin = nengo.Node(lambda t: np.sin(8 * t))
    nengo.Connection(sin, A, synapse=0.01)
    sin_probe = nengo.Probe(sin)
    A_probe = nengo.Probe(A, synapse=0.01)  # 10ms filter
    A_spikes = nengo.Probe(A.neurons)
 
with nengo.Simulator(model) as sim:
    sim.run(1)
 
from nengo.utils.matplotlib import rasterplot
 
# Plot the decoded output of the ensemble
plt.figure()
plt.plot(sim.trange(), sim.data[A_probe], label="A output")
plt.plot(sim.trange(), sim.data[sin_probe], 'r', label="Input")
plt.xlim(0, 1)
plt.legend()
 
# Plot the spiking output of the ensemble
plt.figure()
rasterplot(sim.trange(), sim.data[A_spikes])
plt.xlim(0, 1);