A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware
Spiking neural networks (SNNs) have emerged as a hardware efficient architecture for classification tasks.The challenge of spike-based encoding has been the lack of a universal training mechanism performed entirely using spikes.There have been several attempts to adopt the powerful backpropagation (BP) technique used in non-spiking artificial neura