Bursting Regularity in Complex Networks of Neurons with Chemical Synapses.

In this, we study the bursting dynamics of the complex neural networks with chemical synapses. A quantitative characteristics, width factor, is introduced to describe the bursting dynamics of the neuron. Then we study the effects of the coupling schemes and the network topology on the rhythmic dynamics of the networks. It is concluded that the coupling scheme plays the key role in shaping the bursting types of the neurons. As for the network topology, more links can only change the bursting type of the long bursting neurons, and the short bursting neurons are robust to the link numbers. [ABSTRACT FROM AUTHOR]