NON-GAUSSIAN NOISE- AND COUPLING-INDUCED FIRING TRANSITIONS OF NEWMAN-WATTS NEURONAL NETWORKS

摘要

In this Letter, we study firing transitions induced by a particular kind of non-Gaussiannnoise (NGN) and coupling in Newman-Watts small-world neuronal networks. It is foundnthat chaotic bursting can be tamed by the coupling and evolves to regular spiking ornbursting behavior as the coupling increases. As the NGN’s deviation from Gaussian noisenchanges, the neurons exhibit firing transitions from irregular spiking to regular bursting,nand the number of spikes inside per burst varies with the change of the deviation. Thesenresults show that the NGN and the coupling play crucial roles in the firing activitynof the neurons, and hence are of great importance to the information processing andntransmission in the neuronal networks