norse.torch.functional.adjoint.lif_adjoint

norse.torch.functional.adjoint.lif_adjoint#

Functions

lif_adjoint_step(input, s, input_weights, ...)

Implementes a single euler forward and adjoint backward step of a leaky integrate and fire neuron with current based exponential synapses.

lif_adjoint_step_sparse(input, s, ...[, p, dt])

Implementes a single euler forward and adjoint backward step of a leaky integrate and fire neuron with current based exponential synapses.

lif_feed_forward_adjoint_step(input, s[, p, dt])

Implementes a single euler forward and adjoint backward step of a leaky integrate and fire neuron with current based exponential synapses.

lif_feed_forward_adjoint_step_sparse(input, s)

Implementes a single euler forward and adjoint backward step of a leaky integrate and fire neuron with current based exponential synapses.

Classes

LIFAdjointFunction(*args, **kwargs)

LIFFeedForwardAdjointFunction(*args, **kwargs)

LIFFeedForwardSparseAdjointFunction(*args, ...)

LIFSparseAdjointFunction(*args, **kwargs)