-
Here's a simple test case:
``` python
import nengo
model = nengo.Network()
with model:
stim1 = nengo.Node([0])
stim2 = nengo.Node([0])
a = nengo.Ensemble(n_neurons=100, dimensions=2)
…
-
I was playing around with some more learning on spinnaker, and I'm getting some discrepancies between nengo and nengo_spinnaker. Basically it looks like the number of neurons might not be getting take…
-
This connection fails
```
inhib = nengo.Node([0]) #inhibit motor output
for ensemble in motor_ens.all_ensembles:
nengo.Connection(inhib, ensemble.neurons,
transform=[[-3]…
-
Here's a minimal(ish) example that exhibits some strange behaviour:
``` python
import nengo
import numpy as np
from nengo import spa
import ctn_benchmark
class Vision(ctn_benchmark.Benchmark):
d…
-
Here's a quick implementation of classical conditioning that's pretty much the same as the model in DAC and other places. The idea is that the cerebellum is a forward model that takes all the stimuli…
-
This script uses a node to probe some data (the output of a circular convolution), but all it gets as input are 0 values. Using a regular probe works fine.
``` python
import nengo
import nengo.spa
im…
-
Been trying to run the notebook but some arguments seem to be deprecated
(i.e. `nengo.PES(1e-3,` `**pre_synapse**=slow_tau)` ) otherwise it does not work)
But could not solve the next issue:
`…
-
Pausing a simulation running on SpiNNaker will put the cores into "pause", but some other timer still runs in the background. This means that when the simulation is resumed, the time that has elapsed …
-
When I try and run the notebooks, I get the following error:
"must declare a nengo.Network called "model"
This is after the call `IPythonViz(model, "scalars.py.cfg")`
I am using nengo 2.4.1, …
-
The quantum probability people have this standard example where you store a vector in memory, project it onto vector A, and then project the result onto vector B. And a lot of fun results hinge on th…