Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks

In three linesSpiker-LL is an FPGA accelerator for spiking neural networks (SNNs) enabling adaptive on-device learning. Built on Spiker+ architecture, it implements the STSF local learning rule with minimal overhead. On MNIST/F-MNIST/DIGITS: 93% accuracy, sub-millisecond latency, <0.1 mJ per inference, DSP-free.

Summary generated by Claude — human-verified