hxtorch.spiking.modules

Modules

hxtorch.spiking.modules.batch_dropout	Implementing BatchDropout Module
hxtorch.spiking.modules.hx_module	Implementing the base module HXModule
hxtorch.spiking.modules.hx_module_wrapper	Implementing a module wrapper to wrap multiple modules as one
hxtorch.spiking.modules.iaf_neuron	Implementing integrate-and-fire neuron module
hxtorch.spiking.modules.input_neuron	Implementing input neuron module
hxtorch.spiking.modules.neuron	Implementing SNN modules
hxtorch.spiking.modules.readout_neuron	Implementing SNN modules
hxtorch.spiking.modules.sparse_synapse	Implementing SNN modules
hxtorch.spiking.modules.synapse	Implementing SNN modules
hxtorch.spiking.modules.types	Define module types

Classes

BatchDropout(size, dropout, experiment)	Batch dropout layer
EventPropNeuron(size, experiment, leak, …)
EventPropSynapse(in_features, out_features, …)
HXBaseExperimentModule(experiment)
HXModule(experiment, execution_instance, …)	PyTorch module supplying basic functionality for elements of SNNs that do have a representation on hardware
HXModuleWrapper(experiment, **modules)	Class to wrap HXModules
IAFNeuron(size, experiment, reset, …)	Integrate-and-fire neuron Caveat: For execution on hardware, this module can only be used in conjunction with a preceding Synapse module.
InputNeuron(size, experiment, …)	Spike source generating spikes at the times [ms] given in the spike_times array.
InputPopulation(size, experiment, …)	Base type for external input populations
Neuron(size, experiment, leak, reset, …)	Neuron layer
NeuronExp(size, experiment, leak, reset, …)	Neuron layer with exponential Euler intergration scheme.
Population(size, experiment, …)	Base class for on-chip populations on BSS-2
Projection(in_features, out_features, …)	Base class for projections on BSS-2
ReadoutNeuron(size, experiment, leak, …)	Readout neuron layer
ReadoutNeuronExp(size, experiment, leak, …)	Neuron layer with exponential Euler intergration scheme.
SparseSynapse(connections, experiment, …)	Sparse synapse layer
Synapse(in_features, out_features, …)	Synapse layer