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Found 2 papers, 1 papers with code
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
However, due to the quantization error and accumulating error, it often requires lots of time steps (high inference latency) to achieve high performance, which negates SNN's advantages.
Spiking Deep Residual Network
SNNs theoretically have at least the same computational power as traditional artificial neural networks (ANNs).
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