Effects of channel blocks on the spiking regularity in clustered neuronal networks

In this paper, we discuss the influences of channel blocks on the spiking regularity in a clustered neuronal network by applying stochastic Hodgkin-Huxley neuronal models as the building blocks. With the aid of simulation results, we reveal that the spiking regularity of the clustered neuronal network could be resonantly enhanced via fine-tuning of the non-blocked potassium channel fraction x (K) . While the non-blocked sodium channel fraction x (Na) can enhance the spiking regularity of the clustered neuronal network in most cases. These results indicate that not only sodium channel blocks but also potassium channel blocks could have great influences on the regularity of spike timings in the clustered neuronal networks. Considering the importance of spike timings in neuronal information transforming processes, our results may give some implications for understanding the nonnegligible role of randomness in ion channels in neuronal systems.