Journal
CHAOS
Volume 24, Issue 3, Pages -Publisher
AMER INST PHYSICS
DOI: 10.1063/1.4894463
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Funding
- National Natural Science Foundation of China [10971196, 61271396]
- Excellent Youth Foundation of Zhejiang Scientific Committee [LR13A05000]
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This paper studies the combined effect of transmission delay and channel fluctuations on population behaviors of an excitatory Erdos-Renyi 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 tau(d) approximate to 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. (C) 2014 AIP Publishing LLC.
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