pynn_brainscales.brainscales2.projections.Projection

class pynn_brainscales.brainscales2.projections.Projection(presynaptic_neurons, postsynaptic_neurons, connector, synapse_type=None, source=None, receptor_type=None, space=<pyNN.space.Space object>, label=None)

Bases: pyNN.common.projections.Projection

__init__(presynaptic_neurons, postsynaptic_neurons, connector, synapse_type=None, source=None, receptor_type=None, space=<pyNN.space.Space object>, label=None)

Create a new projection, connecting the pre- and post-synaptic neurons.

Parameters

  • presynaptic_neurons – Population, PopulationView or Assembly object.

  • postsynaptic_neurons – Population, PopulationView or Assembly object.

  • connector – a Connector object, encapsulating the algorithm to use for connecting the neurons.

  • synapse_type – a SynapseType object specifying which synaptic connection mechanisms to use, defaults to None

  • source – string specifying which attribute of the presynaptic cell signals action potentials. This is only needed for multicompartmental cells with branching axons or dendrodendritic synapses. All standard cells have a single source, and this is the default, defaults to None

  • receptor_type – string specifying which synaptic receptor_type type on the postsynaptic cell to connect to. For standard cells, this can be ‘excitatory’ or ‘inhibitory’. For non-standard cells, it could be ‘NMDA’, etc. If receptor_type is not given, the default values of ‘excitatory’ is used, defaults to None

  • space – Space object, determining how distances should be calculated for distance-dependent wiring schemes or parameter values, defaults to Space()

  • label – a name for the projection (one will be auto-generated if this is not supplied), defaults to None

Methods

__init__(presynaptic_neurons, …[, …])

Create a new projection, connecting the pre- and post-synaptic neurons.

add_to_network_graph(populations, …)

get_data(observable)

Get data for an observable per synapse.

Attributes

placed_connections

Query the last routing run for placement of this projection.
static add_to_network_graph(populations: List[pyNN.common.populations.Population], projection: pynn_brainscales.brainscales2.projections.Projection, builder: _pygrenade_vx_network.NetworkBuilder) → _pygrenade_vx_network.ProjectionOnNetwork
get_data(observable: str)

Get data for an observable per synapse.

Parameters

observable – Name of observable.

Returns

Array with recorded data. The array’s entries are values for each timer entry. Each value has a .data attribute, containing the recorded data.

Raises

RuntimeError – If observable name is not known or the projection does not implement a plasticity rule.

property placed_connections

Query the last routing run for placement of this projection.