norse.torch.module.lif_ex

norse.torch.module.lif_ex#

Classes

`LIFEx`([p])	A neuron layer that wraps a `LIFExCell` in time such that the layer keeps track of temporal sequences of spikes. After application, the layer returns a tuple containing (spikes from all timesteps, state from the last timestep).
`LIFExCell`([p])	Computes a single euler-integration step of a recurrent exponential LIF neuron-model (without recurrence) adapted from https://neuronaldynamics.epfl.ch/online/Ch5.S2.html.
`LIFExRecurrent`(input_size, hidden_size[, p])	A neuron layer that wraps a `LIFExRecurrentCell` in time such that the layer keeps track of temporal sequences of spikes. After application, the module returns a tuple containing (spikes from all timesteps, state from the last timestep).
`LIFExRecurrentCell`(input_size, hidden_size)	Computes a single euler-integration step of a recurrent exponential LIFEx neuron-model (with recurrence) adapted from https://neuronaldynamics.epfl.ch/online/Ch5.S2.html.