Spiking photonic reservoir computing system based on photonic spiking neuron

A spiking photonic reservoir computing system based on photonic spiking neuron is proposed in this paper. This system utilizes the high nonlinearity and excitation characteristics of selected photonic spiking neuron to perform nonlinear classification task. It has been proved that the proposed spiking reservoir can well perform nonlinear classification task. Furthermore, our research also study the effect of different input dimensions and output processing methods on the system. The system can still have good performance under a low input dimension. The results show that the proposed system has strong learning ability and can be used to implement more machine learning tasks.