title: Synchronization and array-enhanced resonances in delayed coupled neuronal network with channel noise.
abstract: This paper studies the combined effect of transmission delay and channel fluctuations on population behaviors of an excitatory Erdös-Rényi neuronal network. First, it is found that the network reaches a perfect spatial temporal coherence at a suitable membrane size. Such a coherence resonance is stimulus-free and is array-enhanced. Second, the presence of transmission delay can induce intermittent changes of the population dynamics. Besides, two resonant peaks of the population firing rate are observed as delay changes: one is at τd≈7ms for all membrane areas, which reflects the resonance between the delayed interaction and the intrinsic period of channel kinetics; the other occurs when the transmission delay equals to the mean inter-spike intervals of the population firings in the absence of delay, which reflects the resonance between the delayed interaction and the firing period of the non-delayed system. Third, concerning the impact of network topology and population size, it is found that decreasing the connection probability does not change the range of transmission delay but broadens the range of synaptic coupling that supports population neurons to generate action potentials synchronously and temporally coherently. Furthermore, there exists a critical connection probability that distinguishes the population dynamics into an asynchronous and synchronous state. All the results we obtained are based on networks of size N = 500, which are shown to be robust to further increasing the population size.
authors.affiliation: Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
authors.forename: Jianchun
authors.initials: J
authors.lastname: Chen
authors.affiliation: Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
authors.forename: Shaojie
authors.initials: S
authors.lastname: Ding
authors.affiliation: Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
authors.forename: Hui
authors.initials: H
authors.lastname: Li
authors.affiliation: Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
authors.forename: Guolong
authors.initials: G
authors.lastname: He
authors.affiliation: Mathematical Department, Zhejiang Normal University, Zhejiang Province 312000, People's Republic of China.
authors.forename: Xuejuan
authors.initials: X
authors.lastname: Zhang
mesh_terms: D000818:Animals; D006801:Humans; D007700:Kinetics; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D055366:Synaptic Potentials / Q000502:physiology*