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)