期刊
COGNITIVE NEURODYNAMICS
卷 8, 期 2, 页码 143-149出版社
SPRINGER
DOI: 10.1007/s11571-013-9257-x
关键词
Small-world neural network; Pattern; Synchronization; Coherence resonance
资金
- National Natural Science Foundation of China [11102041, 11172017]
- Research Fund for the Doctoral Program of Higher Education [20121102110014]
The effects of noise on patterns and collective phenomena are studied in a small-world neuronal network with the dynamics of each neuron being described by a two-dimensional Rulkov map neuron. It is shown that for intermediate noise levels, noise-induced ordered patterns emerge spatially, which supports the spatiotemporal coherence resonance. However, the inherent long range couplings of small-world networks can effectively disrupt the internal spatial scale of the media at small fraction of long-range couplings. The temporal order, characterized by the autocorrelation of a firing rate function, can be greatly enhanced by the introduction of small-world connectivity. There exists an optimal fraction of randomly rewired links, where the temporal order and synchronization can be optimized.
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