Guoning Tang

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The synchronization is investigated in a two-dimensional Hindmarsh-Rose neuronal network by introducing a global coupling scheme with time delay, where the length of time delay is proportional to the spatial distance between neurons. We find that the time delay always disturbs synchronization of the neuronal network. When both the coupling strength and(More)
The effects of long-range interactions on the scaling properties of the noisy Kuramoto-Sivashinsky (KS) equation are studied by the dynamic renormalization-group technique. It is found that the presence of long-range nonlinearity in the KS equation can produce new stable fixed points with varying critical exponents that depend on both the long-range(More)
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