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I'm trying to run a model with most of the ensembles converted to direct mode, but get an `AssertionError`. This does not happen when using LIF neurons or using direct mode and the reference backend.
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The current `AssociativeMemory` network constructor takes a whole bunch of parameters (14 of them if my count is right). This is partly because you can:
- Supply an input vector list, output vector li…
xchoo updated
7 years ago
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This is somewhat related to nengo/nengo_gui#855. At the moment the order of object types when generating seeds is alphabetic which puts probes implicitely last. I propose to change the code so that se…
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As discussed [here](https://github.com/nengo/nengo/pull/849), the way default vocabs are assigned in SPA modules is badly documented.
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I think it's because [this for-loop](https://github.com/nengo/nengo_deeplearning/blob/master/nengo_deeplearning/simulator.py#L59) doesn't skip according to `sample_every`.
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The `AssociativeMemory` documentation states
``` rst
input_vocab: list or Vocabulary
The vocabulary (or list of vectors) to match.
output_vocab: list or Vocabulary, optional (Default:…
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I've been stumbling into this problem recently:
```
import nengo
with nengo.Network() as model:
a = nengo.Node(size_in=1)
b = nengo.Node(size_in=1)
nengo.Connection(a, b, synapse=None, fu…
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Hello. I have a small question to ask. I know you can a connection between two ensembles. I want to know if you can train multiple connections at the same time.
For example, let's say I have 3 ens…
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The following code fails
```python
import numpy as np
import nengo
y = np.fft.ifft(np.arange(5)).real
with nengo.Network() as model:
u = nengo.Node(y)
up = nengo.Probe(u)
with ne…
hunse updated
7 years ago