norse.torch.functional.coba_lif.coba_lif_feed_forward_step

norse.torch.functional.coba_lif.coba_lif_feed_forward_step#

norse.torch.functional.coba_lif.coba_lif_feed_forward_step(input_tensor: Tensor, state: CobaLIFFeedForwardState, p: CobaLIFParameters = (tensor(0.2000), tensor(0.2000), tensor(5.), tensor(0.2500), tensor(-100), tensor(60), tensor(-20), tensor(-70), tensor(-10), 'super', 100.0), dt: float = 0.001) Tuple[Tensor, CobaLIFFeedForwardState][source]#

Euler integration step for a conductance based LIF neuron.

Parameters:

input_tensor (torch.Tensor): synaptic input state (CobaLIFFeedForwardState): current state of the neuron p (CobaLIFParameters): parameters of the neuron dt (float): Integration time step