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The premise of the "basic_graph" was to return a minimal representation. Now it returns an array per entry, containing the distribution of each synapse in the edge into their confidence values.
While…
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Here's the simplest model I've come up with where there's a difference between output from the actual chip and the output from the approximation of the chip that's built in to `nengo_loihi`.
```pyt…
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In the (Goldenberg et al., 2009) review, the section on SBM makes an interesting point (Fig 3.2): You can have the nodes within a block of an SBM not connect with one another. By defining blocks accor…
whock updated
9 years ago
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I can't recall if this was mentioned in class. But would it be an easier problem if we tried to show that neuron orientation is (in)dependent of its connectivity?
Could this be demonstrated by constr…
akim1 updated
9 years ago
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First of all, thank you for your awesome work.
I run [Colab example](https://colab.research.google.com/github/lapalap/dora/blob/master/examples/hello_dora.ipynb#scrollTo=NIrC4SyhwoBb) through Jupyt…
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First of all, thanks for this awesome tool. The way of importing neurons from neuPRINT is super straight forward. I was wondering if there is a similar method using the “Copy view URL to clipboard”…
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Dear all,
I am writing for three issues (the first two really related one another).
1) How can I modify the "config.json" report section in order to tell bmtk to compute the 'population_name' r…
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Hi, following up on #311. I tried using the new code on the master branch and was still having issues. Playing around with the test script from #312 I think the issue is that when `sim.run_steps()` i…
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The refractory time after a spike at time $t^*$ is defined for `iaf_psc_delta` and many other neurons via
$$V_m(t) = V_{\text{reset}} \quad \text{for} \quad t^* \leq t < t^* + t_{\text{refract}}$$
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Lecture 1:
–The graphs we've been shown so far in lecture represent aspects of a brain like neuron interconnectivity, but can they be modified to show other aspects of a neuron, like length of axon (d…