norse.torch.module

Modules for spiking neural network, adhering to the torch.nn.Module interface.

Modules

norse.torch.module.coba_lif
norse.torch.module.conv
norse.torch.module.encode	Stateful encoders as torch modules.
norse.torch.module.exp_filter	Exponential smoothing is rule of thumb techique for smoothing time series data using the exponential window function.
norse.torch.module.iaf
norse.torch.module.izhikevich
norse.torch.module.leaky_integrator	Leaky integrators describe a leaky neuron membrane that integrates incoming currents over time, but never spikes.
norse.torch.module.leaky_integrator_box	Leaky integrators describe a leaky neuron membrane that integrates incoming currents over time, but never spikes.
norse.torch.module.lif	A very popular neuron model that combines a norse.torch.module.leaky_integrator with spike thresholds to produce events (spikes).
norse.torch.module.lif_adex
norse.torch.module.lif_adex_refrac
norse.torch.module.lif_box	A simplified version of the popular leaky integrate-and-fire neuron model that combines a norse.torch.functional.leaky_integrator with spike thresholds to produce events (spikes).
norse.torch.module.lif_correlation
norse.torch.module.lif_ex
norse.torch.module.lif_mc
norse.torch.module.lif_mc_refrac
norse.torch.module.lif_refrac
norse.torch.module.lift
norse.torch.module.lsnn	Long-short term memory module, building on the work by [G.
norse.torch.module.receptive_field	These receptive fields are derived from scale-space theory, specifically in the paper Normative theory of visual receptive fields by Lindeberg, 2021.
norse.torch.module.regularization	This module contains ``torch.nn.Module``s for regularisation operations on spiking layers, where it can be desirable to regularise spikes, membrane parameters, or other properties over time.
norse.torch.module.sequential
norse.torch.module.snn	Base module for spiking neural network (SNN) modules.
norse.torch.module.spikes_to_times_decoder
norse.torch.module.test