A Time-Multiplexed Spiking Neural Network Accelerator with Pipelined Readout for FPGA Inference
The design and Field-Programmable Gate Array (FPGA) implementation of an inference-only SNN accelerator optimized for MNIST digit classification is presented and it is demonstrated that the proposed microarchitecture provides a resource-efficient solution for real-time neuromorphic edge inference.