Before revision:  The model can not only optimize local plasticityrules, but also receive top-down supervision information . 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 .
After revision:  The model can not only optimize local plasticityrules, but also receive top-down supervision information for multi-scale learning. 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 .