hxtorch.spiking.modules.types.BasePopulation

class hxtorch.spiking.modules.types.BasePopulation(size: int, experiment: Experiment, execution_instance: Optional[ExecutionInstance] = None, chip_coordinate: Optional[DLSGlobal] = None)

Bases: hxtorch.spiking.modules.hx_module.HXModule

Base class for populations

__init__(size: int, experiment: Experiment, execution_instance: Optional[ExecutionInstance] = None, chip_coordinate: Optional[DLSGlobal] = None) → None

Parameters

• size – Number of input neurons.

• experiment – Experiment to append layer to.

• execution_instance – Execution instance to place to.

• chip_coordinate – Chip coordinate this module is placed on.

Methods

__init__(size, experiment[, …])	param size Number of input neurons.
extra_repr()	Add additional information
has_trainable_params()	Check whether population has trainable parameters.

Attributes

extra_repr() → str

Add additional information

has_trainable_params() → bool

Check whether population has trainable parameters.

size: int