Add PyNEST example using ignore_and_fire model for scaling experiments
#3276
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jessica-mitchell
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@mlober @tomtetzlaff Ping! |
| for various network sizes between :math:`N=1250` and :math:`N=13750`. | ||
| The number of incoming connections per neuron, the in-degree, is kept constant at :math:`K=1250`. | ||
| The total number of connections hence scales linearly with :math:`N`. For each simulation, we monitor the simulation | ||
| (wall clock) time, the time and population averaged firing rate, and the mean standard deviation of the excitatory |
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typo: "mean and standard deviation"
| Dependence of the simulation time (top), the time and population averaged firing rate (middle) and the excitatory | ||
| synaptic weights (bottom) on the network size :math:`N` for the\ ``integrate-and-fire`` (black) and the | ||
| ``ignore-and-fire`` variant of the network model (gray). The in-degree :math:`K=1250` is fixed. Figure generated using | ||
| :doc:`scaling.py </auto_examples/ignore_and_fire/scaling>`. |
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| * reset and refractoriness: | ||
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| .. math:: \forall{}k,\ \forall t \in \left(t_{k}^{i},\,t_{k}^{i}+\tau_\text{ref}\right]:\quad V_{i}(t)=V_\text{reset} |
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The refractoriness interval needs be closed on both sides:
.. math:: \forall{}k,\ \forall t \in \left[t_{k}^{i},,t_{k}^{i}+\tau_\text{ref}\right]:\quad V_{i}(t)=V_\text{reset}
| .. math:: | ||
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| \begin{aligned} | ||
| &\forall{}k,\ \forall t \notin \left[t_{i}^{k},\,t_{i}^{k}+\tau_\text{ref}\right):\\ |
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See above:
&\forall{}k,\ \forall t \notin \left[t_{i}^{k},,t_{i}^{k}+\tau_\text{ref}\right]:\
| | :math:`C_\text{m}` | | membrane capacitance | | ||
| | | :math:`250\,\text{pF}` | | | ||
| +---------------------------------+--------------------------------+----------------------+ | ||
| | :math:`\color{blue} R_\text{m}` | :math:`\tau \ | membrane resistance | |
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replace
\tau \ _\text{m}
by
\tau_\text{m}
| Network sketch (see `Fig. 8 <https://doi.org/10.1371/journal.pcbi.1010086.g008>`_ | ||
| in Senk et al. [3]_). | ||
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| Detailed desciption of network model |
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| .. _sec_model_description: | |||
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| Two population STDP network model | |||
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I find this name weird. In the ACA testcases, we define "TwoPopulationNetworkPlastic" as this model's "uid", to have something more telling than "hpc_benchmark". I'd suggest to either stick to this (without spaces), or to use something less abstract, such as "Balanced random network with STDP synapses".
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Thanks @jessica-mitchell . I found few minor issues in the documentation and left some comments.
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This PR adds an example for the
ignore_and_firemodelThanks to @tomtetzlaff for developing the content!
The documentation to generate the sketch from odg file is removed, as I don't think it's suitable for the purposes of the docs here.
See Read the Docs output here: https://nest-simulator--3276.org.readthedocs.build/en/3276/auto_examples/ignore_and_fire/index.html