A neuron information visualization method for an operating system of a brain-like computer, the method comprising the following steps: obtaining connection description files of a spiking neuron network, and performing global encoding on each layer of neuron nodes according to the connection description files, wherein each neuron node obtains a globally unique identification, each layer of neuron nodes are represented by aggregation and are distinguished by different colors, and a connection relationship between adjacent layers of neuron nodes is represented by a connecting edge and is distinguished by a different color; and calculating the importance of each neuron node according to the number of connecting edges of the neuron nodes and the weights of the connecting edges, and according to the magnitude of the importance, selecting neuron nodes for visualization. The problems of a lot of connection description files, a large number of neuron nodes, and a lot of connecting lines between the neuron nodes, and the connecting lines not being easy to distinguish are solved. Rational visualization for neuron information of an operating system of a brain-like computer is realized, thereby facilitating the understanding of the working process of a spiking neuron network.
NEURON INFORMATION VISUALIZATION METHOD FOR OPERATING SYSTEM OF BRAIN-LIKE COMPUTER