title: Frequency-selective response of FitzHugh-Nagumo neuron networks via changing random edges.
abstract: We consider a network of FitzHugh-Nagumo neurons; each neuron is subjected to a subthreshold periodic signal and independent Gaussian white noise. The firing pattern of the mean field changes from an internal-scale dominant pattern to an external-scale dominant one when more and more edges are added into the network. We find numerically that (a) this transition is more sensitive to random edges than to regular edges, and (b) there is a saturation length for random edges beyond which the transition is no longer sharpened. The influence of network size is also investigated.
authors.affiliation: Department of Chemical Physics, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
authors.forename: Gang
authors.initials: G
authors.lastname: Zhao
authors.forename: Zhonghuai
authors.initials: Z
authors.lastname: Hou
authors.forename: Houwen
authors.initials: H
authors.lastname: Xin
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D005246:Feedback / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*