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flake8
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examples/extra_models_examples/IF_cond_exp_stoc.py

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@@ -132,8 +132,7 @@ def run_script(*, split: bool = False) -> None:
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pylab.show()
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# combined binaries [IF_cond_exp_stoc.aplx, IF_cond_exp.aplx]
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# split binaries [IF_cond_exp_stoc_neuron.aplx,
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# IF_cond_exp_neuron.aplx]
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# split binaries [IF_cond_exp_stoc_neuron.aplx, IF_cond_exp_neuron.aplx]
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if __name__ == "__main__":

examples/extra_models_examples/IF_curr_exp_ca2_adaptive.py

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import matplotlib.pyplot as pylab
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import pyNN.spiNNaker as sim
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def run_script(*, split: bool = False) -> None:
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"""
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Runs the example script
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This requires more cores but allows more spikes to be received.
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"""
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# Timestep (ms)
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# **NOTE** the 2.5Khz input frequency is not going to work particularly well
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# at 1ms
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# **NOTE**
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# the 2.5Khz input frequency is not going to work particularly well at 1ms
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dt = 0.1
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# Number of neurons - used to gather enough ISIs to get a smooth estimate

examples/extra_models_examples/IF_curr_exp_sEMD.py

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import matplotlib.pyplot as plt
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from pyNN.utility.plotting import Figure, Panel
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def run_script(*, split: bool = False) -> None:
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"""
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Runs the example script
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if __name__ == "__main__":
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run_script()
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examples/extra_models_examples/synfire_if_curr_dual_exp.py

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from pyNN.utility.plotting import Figure, Panel
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import matplotlib.pyplot as plt
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def run_script(*, split: bool = False) -> None:
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"""
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Runs the example script
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if __name__ == "__main__":
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run_script()
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examples/extra_models_examples/vogel_2011/vogels_2011_live.py

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# (Number of inhibitory neurons is proportional to this)
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NUM_EXCITATORY = 2000
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def run_script(*, split: bool = False) -> None:
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"""
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Runs the example script
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if __name__ == "__main__":
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run_script()
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