We study the effects of noise and network structure in Hodgkin-Huxley(HH) neuron model by computer simulations. The HH neuron is an excitable system. It rests in the subthreshold regime, but bursts when the external stimulus current exceeds a threshold.
A single HH neuron spontaneously bursts under the threshold when noise is added. As the intensity of noise increases, the bursting becomes more frequent however its intervals are more irregular.
We also investigate spontaneous bursting of HH neurons according to the network structure; regular, small-world and random networks. Synchronized spontaneous bursting are enhanced on the random network and at the appropriate noise.
