A purely discrete spiking neural network via ANN-to-SNN conversion with representation alignment and readout calibration
Artificial neural network-to-spiking neural network (ANN-to-SNN) conversion is affected by both hidden-representation mismatch and incompatibility between an ANN-trained classifier and finite-window spike statistics. This study separates these effects using a quantization clip-floor-shift (QCFS)–Chialvo conversion mode...