Theta phase precession is an interesting phenomenon in hippocampus and may enhance learning and memory. Based on Harris KD et al. and Magee JC's electrophysiology experiments, a biology plausible spiking neuron model for theta phase precession was proposed. The model is simple for constructing large scale network and realistic to match the biology context. The numerical results show that the model can capture the main attributes of experimental result. An STDP network constructed with our model neurons can memorize place sequence after single trial learning with high accuracy. While a network model without theta phase precession cannot memorize even a bit of place sequence after single trial learning.