Before revision:  Furthermore, the implementation of the hybrid model on the Tianjic neuromorphic platform proves that it can fully utilize the advantages of neuromorphic hardware architecture and promote energy-efficient on-chip applications .
After revision:  Furthermore, the implementation of the hybrid model on the Tianjic neuromorphic platform by exploiting algorithm-hardware co-designs and proved that the model can fully utilize the advantages of neuromorphic hardware architecture and promote energy-efficient on-chip applications .