pynn_brainscales.brainscales2.standardmodels.cells.SpikeSourceArray
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class
pynn_brainscales.brainscales2.standardmodels.cells.SpikeSourceArray(**parameters) Bases:
pynn_brainscales.brainscales2.standardmodels.cells_base.ExternalNeuron,pyNN.standardmodels.cells.SpikeSourceArraySpike source generating spikes at the times [ms] given in the spike_times array.
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__init__(**parameters) Initialize self. See help(type(self)) for accurate signature.
Methods
can_record(variable[, location])generate_input_data(population, experiment, …)Generate input data for this population.
generate_vertex(population)Generate vertex representation for this population.
Attributes
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can_record(variable: str, location=None) → bool
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default_parameters= {'spike_times': ArrayParameter([])}
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generate_input_data(population: pyNN.common.populations.Population, experiment: pygrenade_vx.network.abstract.frontend.ExperimentSnippet, snippet_begin_time: float, snippet_end_time: float) → Dict[int, pygrenade_common.PortData] Generate input data for this population. :param population: Population featuring this cell’s celltype :param experiment: Experiment snippet to generate data for :param snippet_begin_time: Begin time of snippet :param snippet_end_time: End time of snippet :return: Population input data
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static
generate_vertex(population: pyNN.common.populations.Population) → pygrenade_common.Population Generate vertex representation for this population. :param population: Population featuring this cell’s celltype :return: Population vertex
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recordable: Final[List[str]] = ['spikes']
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translations= {'spike_times': {'forward_transform': 'spike_times', 'reverse_transform': 'spike_times', 'translated_name': 'spike_times', 'type': 'simple'}}
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