FPGA accelerator for SRC-based SNNs with mathematical simplifications achieves 96.31% MNIST accuracy and reports energy-accuracy trade-offs down to 0.45 mJ per digit.
Spike-based computation using clas- sical recurrent neural networks.Neuromorphic Computing and Engineering, 4(2):024007
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Energy-Efficient Implementation of Spiking Recurrent Cells on FPGA
FPGA accelerator for SRC-based SNNs with mathematical simplifications achieves 96.31% MNIST accuracy and reports energy-accuracy trade-offs down to 0.45 mJ per digit.