Event-driven eligibility propagation in large sparse networks
Eligibility propagation (e-prop) is a biologically plausible learning rule for recurrent spiking neural networks (SNNs). It approximates gradients computed by backpropagation through time using online updates based on eligibility traces and learning signals. We reformulate the originally time-driven gradient calculatio...