import nengo
from nengo.exceptions import ObsoleteError
[docs]class Integrator(nengo.Network):
"""An ensemble that accumulates input and maintains state.
This is accomplished through scaling the input signal and recurrently
connecting an ensemble to itself to maintain state.
Parameters
----------
recurrent_tau : float
Time constant on the recurrent connection.
n_neurons : int
Number of neurons in the recurrently connected ensemble.
dimensions : int
Dimensionality of the input signal and ensemble.
**kwargs
Keyword arguments passed through to ``nengo.Network``
like 'label' and 'seed'.
Attributes
----------
ensemble : Ensemble
The recurrently connected ensemble.
input : Node
Provides the input signal.
"""
def __init__(self, recurrent_tau, n_neurons, dimensions, **kwargs):
if "net" in kwargs:
raise ObsoleteError("The 'net' argument is no longer supported.")
kwargs.setdefault("label", "Integrator")
super().__init__(**kwargs)
with self:
self.input = nengo.Node(size_in=dimensions)
self.ensemble = nengo.Ensemble(n_neurons, dimensions=dimensions)
nengo.Connection(self.ensemble, self.ensemble, synapse=recurrent_tau)
nengo.Connection(
self.input, self.ensemble, transform=recurrent_tau, synapse=None
)
self.output = self.ensemble
