Visualization Implementation of a Parallelized Research Platform for Spiking Neural Network Study

Artificial intelligence has become one of the most popular research fields, and has been widely used in intelligent control, pattern recognition, computer vision, speech recognition, signal processing and other fields and achieved great success. Artificial neural network is the most widely used and successful technology in artificial intelligence field, which cannot be separated from the support and promotion of many open source frameworks. As the third generation of artificial neural network, spiking neural network is more suitable for the simulation of biological neural network than the traditional neural network, so it is also expected in the field of artificial intelligence. The lack of an efficient simulation platform is limiting the progress of research on impulsive neural networks. In this paper, we present our effort at constructing a visualized parallelized research platform for spiking neural network study.