norse.torch.functional.coba_lif.coba_lif_feed_forward_step

norse.torch.functional.coba_lif.coba_lif_feed_forward_step(input_tensor: torch.Tensor, state: norse.torch.functional.coba_lif.CobaLIFFeedForwardState, p: norse.torch.functional.coba_lif.CobaLIFParameters = CobaLIFParameters(tau_syn_exc_inv=tensor(0.2000), tau_syn_inh_inv=tensor(0.2000), c_m_inv=tensor(5.), g_l=tensor(0.2500), e_rev_I=tensor(- 100), e_rev_E=tensor(60), v_rest=tensor(- 20), v_reset=tensor(- 70), v_thresh=tensor(- 10), method='super', alpha=100.0), dt: float = 0.001)Tuple[torch.Tensor, norse.torch.functional.coba_lif.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