Before revision:  Our SNN trained with only hundreds of iterations can achieve a favorable classification result, and randomly destructing network only leads to negligible performance degradation.
After revision:  Our SNN trained with only hundreds of iterations can achieve a great classification accuracy, and random destruction of large numbers of synapses and neurons only leads to negligible performance degradation.