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Phase synchronization and its transition in two coupled bursting neurons: theoretical and numerical analysis |
Wang Hai-Xia(王海侠)a)†, Lu Qi-Shao(陆启韶)b), and Shi Xia(石霞)c) |
a School of Science, Nanjing University of Science and Technology, Nanjing 210094, China; b Department of Dynamics and Control, Beihang University, Beijing 100191, China; c School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Abstract It is crucially important to study different synchronous regimes in coupled neurons because different regimes may correspond to different cognitive and pathological states. In this paper, phase synchronization and its transitions are discussed by means of theoretical and numerical analyses. In two coupled modified Morris--Lecar neurons with a gap junction, we show that the occurrence of phase synchronization can be investigated from the dynamics of phase equation, and the analytical synchronization condition is derived. By defining the phase of spike and burst, the transitions from burst synchronization to spike synchronization and then toward nearly complete synchronization can be identified by bifurcation diagrams, the mean frequency difference and time series of neurons. The simulation results suggest that the synchronization of bursting activity is a multi-time-scale phenomenon and the phase synchronization deduced by the phase equation is actually spike synchronization.
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Received: 15 January 2010
Accepted manuscript online:
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PACS:
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87.85.Wc
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(Neural engineering)
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87.18.Sn
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(Neural networks and synaptic communication)
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87.19.L-
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(Neuroscience)
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87.19.R-
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(Mechanical and electrical properties of tissues and organs)
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87.19.X-
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(Diseases)
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Fund: Project supported by the National
Natural Science Foundation of China (Grant Nos.~10872014 and
10802012), the Development Foundation of Science of Nanjing
University of Science and Technology (Grant No.~XKF09036). |
Cite this article:
Wang Hai-Xia(王海侠), Lu Qi-Shao(陆启韶), and Shi Xia(石霞) Phase synchronization and its transition in two coupled bursting neurons: theoretical and numerical analysis 2010 Chin. Phys. B 19 060509
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[1] |
Pikovsky A, Rosenblum M and Kurths J 2001 Synchronization: A Universal Concept in Nonlinear Science (Cambridge: Cambridge University Press) pp.~1--7
|
[2] |
Dzakpasu R and Zochowski M 2005 Physica D 208 115
|
[3] |
Singer W 1999 Neuron 24 49
|
[4] |
Von der Malsburg C 1994 The Correlation Theory of Brain Function in: Models of Neural Networks II (Berlin: Springer) pp.~4, 5
|
[5] |
Milton J and Jung P 2003 Epilepsy as a Dynamic Disease (Berlin: Springer) pp.~1--14
|
[6] |
Izhikevich E M 2000 Int. J. Bifur. Chaos 10 1171
|
[7] |
Shuai J W and Durand D M 1999 Phys. Lett. A 264 289
|
[8] |
Shi X and Lu Q S 2007 Chin. Phys. Lett. 24 636
|
[9] |
Li H Q, Xu W, Wang C Q and Liu X D 2008 Acta Biophys. Sin. 24 29 (in Chinese)
|
[10] |
Dhamala M, Jirsa V K and Ding M Z 2004 Phys. Rev. Lett. 92 028101-1
|
[11] |
Wang Q Y, Lu Q S and Wang H X 2005 Chin. Phys. 14 2189
|
[12] |
Wang H X, Lu Q S and Zheng Y H 2009 Journal of Dynamics and Control 7 293
|
[13] |
Gonzá lez-Miranda J M 2005 Phys. Rev. E 72 051922-1
|
[14] |
Komarov M A, Osipov G V and Suykens J A K 2008 Chaos 18 037121-1
|
[15] |
Wang Q Y, Duan Z S, Feng Z S, Chen G R and Lu Q S 2008 Physica A 387 4404
|
[16] |
Boccaletti S, Kurths J, Osipov G, Valladares D L and Zhou C S 2002 Phys. Rep. 366 1
|
[17] |
De Pontes J C A, Viana R L, Lopes S R, Batista C A S and Batista A M 2008 Physica A 387 4417
|
[18] |
Batista C A S, Batista A M, De Pontes J C A, Lopes S R and Viana R L 2009 Chaos, Solitons and Fractals 41 2220
|
[19] |
Shi X and Lu Q S 2009 Physica A 388 2410
|
[20] |
Chen Y H, Zhou T, He D H, Xu J X and Su W T 2002 Acta Phys. Sin. 51 731 (in Chinese)
|
[21] |
Liu Y 2009 Acta Phys. Sin. 58 749 (in Chinese)
|
[22] |
Wu Y, Xu J X, He D H and Jin W Y 2005 Acta Phys. Sin. 54 3457 (in Chinese)
|
[23] |
Li C G and Chen G R 2004 Physica A 341 73
|
[24] |
Rosenblum M G, Pikovsky A S and Kurths J 1996 Phys. Rev. Lett. 76 1804
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