text: from tanh_neuron import TanhWithBias
  
  import numpy as np
  import nengo
  import ipdb
  import matplotlib.pyplot as plt
  
  SEED = 0
  n_neurons = 5
  neuron_type = TanhWithBias(seed=SEED)
  sig_dims = 1
  
  
  with nengo.Network() as model:
      in_nd = nengo.Node(lambda t: np.ones(n_neurons) * (1.0 - t))
      # should use np.eye if you actually want orthogonal stuff
      sig_reserv = nengo.Ensemble(n_neurons, n_neurons, neuron_type=neuron_type, seed=SEED)
      nengo.Connection(in_nd, sig_reserv, synapse=None, seed=SEED)
  
      p_rate = nengo.Probe(sig_reserv.neurons, synapse=None)
      p_in = nengo.Probe(in_nd)
  
  with nengo.Simulator(model) as conc_sim:
      conc_sim.run(2)
  
  plt.plot(conc_sim.data[p_rate])
  plt.plot(conc_sim.data[p_in])
  plt.show()
  
  ipdb.set_trace()
  