A multiplier-free FPGA accelerator for LIF spiking neural networks with a learned, patch-based input encoding reaches 99.03% on MNIST at 3400 images/s.
Darwin: A neuromorphic hardware co-processor based on spiking neural networks,
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Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
A multiplier-free FPGA accelerator for LIF spiking neural networks with a learned, patch-based input encoding reaches 99.03% on MNIST at 3400 images/s.