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The CBEM spiking neuron model establishes a new connection between the statistics of neural coding and the biophysical model. In order to narrow the gap between the CBEM model and the biophysical model, a coupled CBEM spike neuron model is proposed. A coupling filter was used to couple the single CBEM model. The correlation between different spiking sequences is considered in the coupled CBEM spiking neuron model, and the correlation information is used for sequence fitting. Through the spike rate visualization, Single-spike information and the AIC criterion show that the proposed coupled CBEM model can obtain more real spiking sequences simulation results, more spiking sequences information and the low model complexity while retaining the biophysical interpretability.