Image Recognition Algorithm Based on Spiking Neural Network

Abstract

Image recognition is one of the basic tasks of computer vision, and it is also one of the important research directions in the field of machine learning. The artificial neural network algorithm has achieved very remarkable results in image recognition, convolutional neural network is one of the most popular artificial neural network, it’s also the main solution to image recognition currently. The spiking neural network is called the third-generation neural network, which is different from the previous generation of neural networks. Inspiring by neuroscience, spiking neural network try to build neural networks in a way closer to the human brain mechanism. Referring the application of artificial neural network in image recognition, we decide to use the convolutional neural network in image recognition, moreover, we combine the spiking neural network to construct a new neural network and try to apply it in the field of image classification.