pynn_brainscales.brainscales2.standardmodels.cells.StandardCellType

class pynn_brainscales.brainscales2.standardmodels.cells.StandardCellType(**parameters)

Bases: abc.ABC, pyNN.standardmodels.base.StandardCellType

Network addable standard cell type, to be used as base for all cells.

__init__(**parameters)

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

Methods

__init__(**parameters)	Initialize self.
generate_input_data(population, experiment, …)	Generate input data for this population.
generate_vertex(population)	Generate vertex representation for this population.
get_observable_type(name, compartment)	Get the type of the observable.
get_receptor(name, compartment)	Get receptor by name for compartment.
get_recording_site(name, compartment)	Get recording site by name.
validate_parameter_space()	Raise if the parameter space is not yet valid.

Attributes

analog_obs_port
recording_site_dimension_unit
spike_port

analog_obs_port: int = 1

abstract generate_input_data(population: pyNN.common.populations.Population, experiment: pygrenade_vx.network.abstract.frontend.ExperimentSnippet, snippet_begin_time, snippet_end_time) → 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

abstract 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

classmethod get_observable_type(name: str, compartment: pygrenade_common.CompartmentOnNeuron) → pynn_brainscales.brainscales2.recording_data.ObservableType

Get the type of the observable.

Parameters

• name – Name of variable for which to get the observable type.

• compartment – Compartment identifier

Returns

Type of observable.

get_receptor(name: str, compartment: pygrenade_common.CompartmentOnNeuron) → pygrenade_common.MultiIndexSequence

Get receptor by name for compartment. :param name: Name of receptor :param compartment: Compartment identifier

get_recording_site(name: str, compartment: pygrenade_common.CompartmentOnNeuron) → int

Get recording site by name.

Parameters

• name – Name of observable/mechanism which should be recorded.

• compartment – Compartment identifier

Returns

ID of the neuron circuit/mechanism which corresponds to the recorded observable.

recording_site_dimension_unit = AtomicNeuronOnCompartmentDimensionUnit()

spike_port: int = 0

validate_parameter_space()

Raise if the parameter space is not yet valid.

In case an initial config is supplied upon setup, the parameter space is not valid until mapping for uncalibrated neurons.