Before revision:   Here, we report a hybrid spiking neural network model that integrates the two approaches by introducing a  meta-local module and a two-phase causality modellingmethod.
After revision:  On the other hand, spiking neural network embodies "computation" in spatiotemporal domain with unique features of rich coding scheme and threshold switching, which is very suitable for low power and high parallel neuromorphic computing. Here, we report a hybrid spiking neural network model that integrates the two approaches by introducing a meta-local module and a two-phase causality modellingmethod.