  Recently, stemming from the rapid development of artificial intelligence,
which has gained expansive success in pattern recognition, robotics, and
bioinformatics, neuroscience is also gaining tremendous progress. A kind of
spiking neural network with biological interpretability is gradually receiving
wide attention, and this kind of neural network is also regarded as one of the
directions toward general artificial intelligence. This review introduces the
following sections, the biological background of spiking neurons and the
theoretical basis, different neuronal models, the connectivity of neural
circuits, the mainstream neural network learning mechanisms and network
architectures, etc. This review hopes to attract different researchers and
advance the development of brain-inspired intelligence and artificial
intelligence.
