Equilibrium analysis and phase synchronization of two coupled HR neurons with gap junction |
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Authors: | Haixia Wang Qingyun Wang Qishao Lu Yanhong Zheng |
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Affiliation: | 1. School of Science, Nanjing University of Science and Technology, Nanjing, 210094, China 2. Department of Dynamics and Control, Beihang University, Beijing, 100191, China 3. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, 350007, China
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Abstract: | The properties of equilibria and phase synchronization involving burst synchronization and spike synchronization of two electrically coupled HR neurons are studied in this paper. The findings reveal that in the non-delayed system the existence of equilibria can be turned into intersection of two odd functions, and two types of equilibria with symmetry and non-symmetry can be found. With the stability and bifurcation analysis, the bifurcations of equilibria are investigated. For the delayed system, the equilibria remain unchanged. However, the Hopf bifurcation point is drastically affected by time delay. For the phase synchronization, we focus on the synchronization transition from burst synchronization to spike synchronization in the non-delayed system and the effect of coupling strength and time delay on spike synchronization in delayed system. In addition, corresponding firing rhythms and spike synchronized regions are obtained in the two parameters plane. The results allow us to better understand the properties of equilibria, multi-time-scale properties of synchronization and temporal encoding scheme in neuronal systems. |
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Keywords: | Equilibrium Bifurcation Gap junction Time delay Synchronization |
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