Affective computing is an important branch of human-computer interaction, which aims to develop algorithms to identify, interpret, process and simulate human emotions. In this work, we propose an affective computing neural network which is based on spiking neural network, temporal spike sequence learning is utilized via back-propagation for establishing our one-dimensional convolution deep spiking neural networks. Experimental results show that our network structure can achieve excellent results.