An Edge On-Chip-Learning Convolutional Spiking Neural Network Processor Based on Error Backpropagation via Spatiotemporal Nodes of Spike Events
{{output}}
While Spiking Neural Networks (SNNs) offer high energy efficiency for edge computing, implementing on-chip backpropagation for convolutional topologies remains challenging due to substantial memory and logic overhead. Existing hardware mostly relies on offline... ...
