Temporal correlation between neural discharge sequences induced by correlated synaptic inputs distributes widely in large population of neurons. However, how synaptic input frequency affects the spike train correlation remains largely unclear. To address this question, we use a pair of unconnected ball-and-stick (BS) model neurons of integrate-and-fire (IF) type to simulate the correlated spike trains when receiving the shared synaptic inputs with specific frequency at the distal dendrite. We derive the relevant simplified point (SP) neuron model analytically to well reproduce the BS model dynamics with suprathreshold inputs. We show that the output correlation is negatively correlated to input frequency, and this frequency-dependent correlation is modulated by dendritic morphologies and synaptic positions. Our results highlight the dependence of spike train correlation on input frequency and suggest that the dendritic filtering is a primary factor in shaping this correlation-frequency relationship using SP models and morphologically realistic model neurons. These predictions should be considered when understanding the neural population correlations. Data availabilityNo data was used for the research described in the article.