norse.torch.functional.iaf.iaf_feed_forward_step#

norse.torch.functional.iaf.iaf_feed_forward_step(input_spikes: Tensor, state: IAFFeedForwardState, p: IAFParameters = (tensor(1.), tensor(0.), 'super', tensor(100.)), dt: float = 0.001) → Tuple[Tensor, IAFFeedForwardState][source]#

Feedforward step of an integrate-and-fire neuron, computing a single step

$$\dot{v}=v$$

together with the jump condition

$$z=\mathrm{\Theta }(v-v_{\text{th}})$$

and transition equation

$$v=(1-z)v+z{v}_{\text{reset}}$$

Parameters:

input_spikes (torch.Tensor): the input spikes at the current time step state (IAFFeedForwardState): current state of the LIF neuron p (IAFParameters): parameters of a leaky integrate and fire neuron dt (float): Integration timestep to use (unused, but added for compatibility)