In the last few years. spiking neural networks (SNNs) have been demonstrated to perform on par with regular convolutional neural networks. Several works have proposed methods to convert a pre-trained CNN to a Spiking CNN without a significant sacrifice of performance. We demonstrate first that quantization-aware training of CNNs leads to better accuracy in SNNs. https://ofidmkb678epd.blog2freedom.com/34909515/dissecting-the-contribution-of-single-nucleotide-polymorphisms-in-ccr9-and-ccl25-genomic-regions-to-the-celiac-disease-phenotype