pynn_brainscales.brainscales2.standardmodels.cells.SpikeSourcePoissonOnChip

class pynn_brainscales.brainscales2.standardmodels.cells.SpikeSourcePoissonOnChip(rate, seed)

Bases: pynn_brainscales.brainscales2.standardmodels.cells_base.StandardCellType

Spike source, generating spikes according to a Poisson process.

__init__(rate, seed)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(rate, seed)	Initialize self.
add_to_input_generator(population, builder, …)	Add external events to input generator.
add_to_network_graph(population, builder)	Add population to network builder.
can_record(variable[, location])

Attributes

background_source_clock_freq
recordable
translations

static add_to_input_generator(population: pyNN.common.populations.Population, builder: _pygrenade_vx_network.InputGenerator, snippet_begin_time, snippet_end_time)

Add external events to input generator. :param population: Population to add featuring this cell’s celltype. :param builder: Input builder to add external events to.

static add_to_network_graph(population: pyNN.common.populations.Population, builder: _pygrenade_vx_network.NetworkBuilder) → _pygrenade_vx_network.PopulationOnNetwork

Add population to network builder. :param population: Population to add featuring this cell’s celltype. :param builder: Network builder to add population to. :return: Descriptor of added population

background_source_clock_freq: ClassVar[float] = 250000000.0

can_record(variable: str, location=None) → bool

recordable: Final[List[str]] = ['spikes']

translations = {'rate': {'forward_transform': 'rate', 'reverse_transform': 'rate', 'translated_name': 'rate', 'type': 'simple'}, 'seed': {'forward_transform': 'seed', 'reverse_transform': 'seed', 'translated_name': 'seed', 'type': 'simple'}}