norse.torch.functional

norse.torch.functional#

Stateless spiking neural network components.

Modules

`norse.torch.functional.adjoint`	Adjoint-based neuron activation functions and optimization code.
`norse.torch.functional.coba_lif`
`norse.torch.functional.correlation_sensor`
`norse.torch.functional.decode`	Stateless decoding functionality for Norse, where events in time are converted to numerical representations.
`norse.torch.functional.encode`	Stateless encoding functionality for Norse, offering different ways to convert numerical inputs to the spiking domain.
`norse.torch.functional.filter`	An Exponential smoothing or exponential filter that smoothing time series data using the exponential window function.
`norse.torch.functional.heaviside`(data)	A heaviside step function that truncates numbers <= 0 to 0 and everything else to 1.
`norse.torch.functional.iaf`
`norse.torch.functional.izhikevich`
`norse.torch.functional.leaky_integrator`	Leaky integrators describe a leaky neuron membrane that integrates incoming currents over time, but never spikes.
`norse.torch.functional.leaky_integrator_box`	Leaky integrators describe a leaky neuron membrane that integrates incoming currents over time, but never spikes.
`norse.torch.functional.lif`	A popular neuron model that combines a `norse.torch.functional.leaky_integrator` with spike thresholds to produce events (spikes).
`norse.torch.functional.lif_adex`
`norse.torch.functional.lif_adex_refrac`
`norse.torch.functional.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.functional.lif_correlation`
`norse.torch.functional.lif_ex`
`norse.torch.functional.lif_mc`
`norse.torch.functional.lif_mc_refrac`
`norse.torch.functional.lif_refrac`
`norse.torch.functional.lift`(activation[, p])	Creates a lifted version of the given activation function which applies the activation function in the temporal domain.
`norse.torch.functional.logical`
`norse.torch.functional.lsnn`	Long-short term memory module, building on the work by [G.
`norse.torch.functional.receptive_field`
`norse.torch.functional.regularization`	This module contains functional components for regularization operations on spiking layers, where it can be desirable to regularize spikes, membrane parameters, or other properties over time.
`norse.torch.functional.reset`	Functions for reset mechanisms.
`norse.torch.functional.spikes_to_times_decoder`
`norse.torch.functional.stdp`
`norse.torch.functional.stdp_sensor`
`norse.torch.functional.superspike`
`norse.torch.functional.test`
`norse.torch.functional.threshold`
`norse.torch.functional.tsodyks_makram`