pynn_brainscales.brainscales2.morphology.builder.McNeuronAutomaticBase

class pynn_brainscales.brainscales2.morphology.builder.McNeuronAutomaticBase(**parameters)

Base class for neurons which use the automatic mapping.

These neurons support automated calibration. Cell parameters correspond to calibration targets in calix.

__init__(**parameters): Initialize self. See help(type(self)) for accurate signature.

Methods

`generate_input_data`(population, experiment, …)	Generate input data for this population.
`generate_vertex`(population)	Generate vertex representation for this population.
`get_compartment_ids`(labels)	Get compartment Ids of compartments with the specified labels.
`get_label`(compartment_id)	Retrieve label of a single compartment.
`get_labels`()	Retrieve list of all used labels.
`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.
`get_spike_output_sequence`(compartment)	Get sequence for spike output.

Attributes

`analog_obs_port`
`compartment_ids_grenade`
`conductance_based`
`connection_ids_grenade`
`grenade_neuron`
`injectable`
`mechanisms_ids_grenade`
`recording_site_dimension_unit`
`spike_port`

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

classmethod 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_compartment_ids(labels: Sequence[str]) → List[pyhalco_hicann_dls_vx_v3.CompartmentOnLogicalNeuron]

Get compartment Ids of compartments with the specified labels.

Parameters: labels – Labels for which to extract the compartment IDs.
Returns: IDs of compartments for which the given labels match. Note that a single label can match one or more compartment IDS.
Raises: ValueError – If no compartment can be matched to one of the given labels.

classmethod get_label(compartment_id: pyhalco_hicann_dls_vx_v3.CompartmentOnLogicalNeuron) → str

Retrieve label of a single compartment.

Parameters: compartment_id – ID of compartment for which to retrieve the label.
Returns: Label of selected compartment.

classmethod get_labels() → List[str]

Retrieve list of all used labels.

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

Get the type of the observable.

Parameters

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

Returns

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

get_spike_output_sequence(compartment: pygrenade_common.CompartmentOnNeuron) → pygrenade_common.MultiIndexSequence

Get sequence for spike output.