Before revision:  In addition to flexibly supporting multiple spike-based coding schemes, we demonstrate that this  model facilitates learning of many general tasks, including fault-tolerance learning, few-shot learning and multiple-task learning , and show its efficiency on the Tianjic neuromorphic platform . This work provides a new route for brain-inspired computing and facilitates AGI development .
After revision:  In addition to flexibly supporting multiple spike-based coding schemes, we demonstrate that this model facilitates learning of many general tasks, including fault-tolerance learning, few-shot learning and multiple-task learning , and show its efficiency on the Tianjic neuromorphic platform proves that it can fully utilize the advantages of neuromorphic hardware architecture and promote energy-efficient on-chip applications .