Before revision:  Specifically, the BioSNet trained with only dozens of samples per class can achieve a favorable classification accuracy over 80\% and randomly deleting even 95\% of synapses or neurons in the BioSNet only leads to slight performance degradation.
After revision:  Specifically, the BioSNet trained with only dozens of samples per class can achieve a favorable classification result, and randomly destructing network only leads to slight performance degradation.