Before revision:   In this paper, we propose an efficient and strong unsupervised SNN named BioSNet with high biological plausibility to handle image classification tasks.
After revision:  But the previous SNNs trained through this approach are limited by slow learning speed or unsatisfactory learning capability. In this paper, we propose an efficient and strong unsupervised SNN named BioSNet with high biological plausibility to handle image classification tasks.