Expanding memory in recurrent spiking networks

Ismael Balafrej, Fabien Alibart, Jean Rouat

Recurrent spiking neural networks (RSNNs) are notoriously difficult to train because of the vanishing gradient problem that is enhanced by the binary nature of the spikes. In this…