The neural network plays a significant role in the development history of artificial intelligence and even computer science. The emergence of deep neural networks almost pushed the neural network to a new climax while bringing the development of neural networks into a relatively stagnant stage. At the same time, it also attracted some questions, such as a lack of interpretation. Now, in the bottleneck period, in addition to meticulously adjusting the neural network to find a way out, another option is to search for the answer by searching different perspectives. This research is established on the dendritic neural network model, triggering from the principle of neurons and combined with various datasets to explore the potential and development of neural networks with single neurons as the core.