Effects of time-periodic intercoupling strength on burst synchronization of a clustered neuronal network |
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| Affiliation: | 1. School of Science, Beijing University of Posts and Telecommunications, Beijing, PR China;2. College of Information Science and Technology, Donghua University, Shanghai, PR China;3. Centre for Applied Dynamics Research, University of Aberdeen, Aberdeen, AB24 3UE, UK;1. School of Mathematical Sciences, University of Electronic Science and Technology of China, China;2. College of Computer Science, Sichuan University, China;3. School of Science, Shandong Jianzhu University, China;4. School of Life Science and Technology, Center for Information in Medicine, UESTC, China;5. School of Information and Software Engineering, University of Electronic Science and Technology of China, China;1. State Key Laboratory of Metastable Materials Science and Technology, College of Material Science and Engineering, Yanshan University, Qinhuangdao 066004, China;2. Zhengzhou Research Institute for Abrasives & Grinding Co. Ltd, Zhengzhou 450013, China;1. MCS Kenny, Galway Technology Park, Parkmore, Galway, Ireland;2. College of Engineering and Informatics, National University of Ireland, Galway, Ireland;3. ITF, The Enterprise Centre, Aberdeen Science and Energy Park, Exploration Drive, Aberdeen AB23 8GX, United Kingdom |
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| Abstract: | In this paper, we investigate the effect of time-periodic intercoupling strength on burst synchronization of a clustered neuronal network. We mainly focus on discussing the effects of amplitude and frequency of the time-periodic intercoupling strength on burst synchronization. We found that by tuning the frequency, burst synchrony of the clustered neuronal network could change from higher synchronized states to low synchronized states, and vice versa. While for the amplitude, we surprisingly found that with increasing of the amplitude, burst synchrony of the clustered neuronal network is not always enhanced. We know that synchronization has close relationship with cognitive activities and brain disorders. Thus, our results could give us some useful insight on the important role of time-dependent couplings in neuronal systems. |
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| Keywords: | Spiking regularity Clustered neuronal network Time-periodic intercoupling strength |
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