norse.torch.functional.lif_ex_current_encoder#

norse.torch.functional.lif_ex_current_encoder(input_current: Tensor, voltage: Tensor, p: LIFExParameters = (tensor(0.5000), tensor(200.), tensor(100.), tensor(0.), tensor(1.), tensor(0.), 'super', 100.0), dt: float = 0.001) → Tuple[Tensor, Tensor][source]#

Computes a single euler-integration step of a leaky integrator adapted from https://neuronaldynamics.epfl.ch/online/Ch5.S2.html. More specifically it implements one integration step of the following ODE

$$\begin{array}{r}\begin{array}{rl}\dot{v}& =1/{\tau }_{\text{mem}}(v_{\text{leak}}-v+i+{\mathrm{\Delta }}_{T}exp\left(\frac{v-v_{\text{th}}}{{\mathrm{\Delta }}_T}\right))\\ \dot{i}& =-1/{\tau }_{\text{syn}}i\end{array}\end{array}$$

Parameters:

input (torch.Tensor): the input current at the current time step voltage (torch.Tensor): current state of the LIFEx neuron p (LIFExParameters): parameters of a leaky integrate and fire neuron dt (float): Integration timestep to use