A Survey of Neuromorphic Computing Based on Spiking Neural Networks

Neuromorphic computing aims to build digital or analog computer systems that emulate or simulate the biological brain, in order to achieve high performance and low power consumption for intelligent information processing applications. This article reviews on neuromorphic computing based on Spiking neural networks (SNNs), including its history of development, common neuron models, major research projects, neuromorphic sensors, and applications in brain-computer Interfaces.