import nengo
from nengo.params import Default, IntParam
from nengo_spa.network import Network
[docs]class Scalar(Network):
"""Represents a single scalar.
Parameters
----------
n_neurons : int, optional (Default: 50)
Number of neurons to represent the scalar.
**kwargs : dict
Keyword arguments passed through to `nengo_spa.Network`.
Attributes
----------
input : nengo.Node
Input.
output : nengo.Node
Output.
"""
n_neurons = IntParam("n_neurons", default=50, low=1, readonly=True)
def __init__(self, n_neurons=Default, **kwargs):
super(Scalar, self).__init__(**kwargs)
self.n_neurons = n_neurons
with self:
self.scalar = nengo.Ensemble(self.n_neurons, 1)
self.input = self.scalar
self.output = self.scalar
self.declare_input(self.input, None)
self.declare_output(self.output, None)
