Automatic signal modulation recognition in AI-based wireless communication can be done using combinatorial deep learning neural network techniques to improve resource shortage and spectrum utilization efficiency for dynamic spectrum allocation. Using deep learning neural network circuit methods and doing parallel computations on hardware can reduce costs. Spiking neural network (SNN) provides a promising solution for low-power hardware for neuromorphic computing. Spiking neural network is more promising than other neural networks that can pave a new way for low-power neuromorphic computing applications. Spiking Neural Networks (SNN) is used to connect machine learning and neuroscience.