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style="font-family: tt;"><span style="font-family: monospace;">Hi,<br><br>In
the latest release, you can probe the connection to find the decoders:<br><br>connection
= nengo.Connection(a,b)<br>decoders_p = nengo.Probe(connection,
'decoders', sample_every=1, synapse=None) </span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">sample_every tells the sim how often to
collect the values (full example below). </span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">best, .c</span><br style="font-family:
monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">PS if you're using the latest dev
version, you need to do it differently.</span><br style="font-family:
monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">-------------</span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">import nengo</span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">model = nengo.Network()</span><br
style="font-family: monospace;"><span style="font-family: monospace;">with
model:</span><br style="font-family: monospace;"><span
style="font-family: monospace;"> stim = nengo.Node([0])</span><br
style="font-family: monospace;"><span style="font-family: monospace;">
a = nengo.Ensemble(20, 1) </span><br style="font-family: monospace;"><span
style="font-family: monospace;"> b = nengo.Ensemble(20, 1) </span><br
style="font-family: monospace;"><span style="font-family: monospace;">
nengo.Connection(stim, a)</span><br style="font-family: monospace;"><span
style="font-family: monospace;"> connection = nengo.Connection(a, b)</span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;"> decoders_p =
nengo.Probe(connection, 'decoders', sample_every=1, synapse=None) </span><br
style="font-family: monospace;"><span style="font-family: monospace;">
</span><br style="font-family: monospace;"><span style="font-family:
monospace;">sim = nengo.Simulator(model)</span><br style="font-family:
monospace;"><span style="font-family: monospace;">sim.run(2.0)</span><br
style="font-family: monospace;"><span style="font-family: monospace;">print
sim.data[decoders_p][-1,:] #Print the last decoder sample</span><br
style="font-family: monospace;"><br style="font-family: monospace;"><span
style="font-family: monospace;">Mansoureh Fahimi wrote:</span><br
style="font-family: monospace;"><blockquote style="font-family:
monospace;"
cite="mid:CAORPo42BSNrE8NF0WceAO9HjXa3LUMivmh7Y3q_6oCWUQX7=WQ@mail.gmail.com"
type="cite"><meta http-equiv="Content-Type" content="text/html;
charset=UTF-8"><div dir="ltr">Hi all,<div><br></div><div>When connection
ensembles with nengo how can I see the what the values for the decoded
weights are? I know these are computed in the solver function, but I
don't know how to get the results out in a file or matrix. </div><div><br></div><div>Thanks
for your help,</div><div>Mansoureh</div></div>
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