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A better understanding of the synchronization in distinct frequency bands is however necessary.
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Most of the current understanding of synchronization in switching networks relies on the fast switching hypothesis, where the network dynamics evolves at a much faster time scale than the individual units.
We hope the research can be useful for comprehensively understanding the synchronization behavior of networks and design more effective networks.
The study of synchronization among genetic oscillators is essential for the understanding of the rhythmic phenomena of living organisms at both molecular and cellular levels.
We also provide a physical implementation of the synchronization.
To quantify the speediness and robustness of the synchronization, we use two quantities, the synchronization time and robustness index, to evaluate the synchronization ability under different conditions.
To quantify the speediness and robustness of the synchronization, we use two quantities, the synchronization time and the robustness index, to evaluate the synchronization ability.
However, the activation coefficient K2 has distinct influences on the period and amplitude of the synchronization system in different synchronization intervals (Additional file 7).
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