Spiking neural network application representation method and device of brain-like computer operating system

The invention discloses a spiking neural network application representation method and device for a brain-like computer operating system, and the method comprises the steps: organizing all files needed by a brain-like application into a dpk which specifically comprises a model verification file, an SNN model description file, an SNN weight connection file and an executable model file; and files of application configuration, data preprocessing, pulse coding and decoding, application service logic processing and the like are provided. The generation process of the dpk is divided into three steps of SNN model training or conversion, model compiling and application compression packaging. The brain-like computer operating system imports the dpk and then decompresses and installs the dpk, deploys the model to the brain-like computer, and runs the brain-like application based on the neural model. According to the method, constraints and specifications are provided for representation of various pulse neural network m