import nengo
from nengo.params import Default, IntParam
from nengo_spa.network import Network
[docs]class Product(Network):
"""Multiplies two scalars.
Parameters
----------
n_neurons : int, optional (Default: 200)
Number of neurons to use in product computation.
**kwargs : dict
Keyword arguments passed through to `nengo_spa.Network`.
Attributes
----------
input_a : nengo.Node
First input.
input_b : nengo.Node
Second input.
output : nengo.Node
Output.
"""
n_neurons = IntParam("n_neurons", default=200, low=1, readonly=True)
def __init__(self, n_neurons=Default, **kwargs):
super(Product, self).__init__(**kwargs)
self.n_neurons = n_neurons
with self:
self.product = nengo.networks.Product(self.n_neurons, 1)
self.input_a = self.product.input_a
self.input_b = self.product.input_b
self.output = self.product.output
self.declare_input(self.input_a, None)
self.declare_input(self.input_b, None)
self.declare_output(self.output, None)
