BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes

By further extending SpikeProp, we propose a backpropagation learning algorithm, which adjusts all the parameters, synaptic weights, synaptic delays, synaptic time constants, and neurons' thresholds, for spiking neural networks with multiple layers and multiple spiking neurons.