Proceedings of the 2015 International Symposium on Computers & Informatics

Effect of Coupling Types on Synchronization of Weakly Coupled Bursting Neurons

Authors
Meili Lu, Bei Liu, Yanqiu Che, Chunxiao Han
Corresponding Author
Meili Lu
Available Online January 2015.
DOI
10.2991/isci-15.2015.254How to use a DOI?
Keywords
Bursting Neurons; Synchronization; Weak Coupling; Phase Response Curve.
Abstract

Weak coupling connections are ubiquitous in neuronal system. For neurons with both spiking and bursting dynamics, bursting synchronization, which has been found to be related with a number of abnormal brain rhythms, is easier to occur at smaller synaptic strengths. In this paper, we examine the effect of the synaptic types on the synchronization properties of the weakly coupled bursting neuronal oscillators by means of phase-model reduction. The bifurcation analysis clarifies how the synaptic types affect the existence and stability of in-phase, anti-phase and out of phase synchronization states. The results show that electrical coupling and inhibitory coupling neurons have stable anti-phase synchronous solutions, while excitatory coupling neurons exhibit out of phase synchronous behaviors.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.254
ISSN
2352-538X
DOI
10.2991/isci-15.2015.254How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Meili Lu
AU  - Bei Liu
AU  - Yanqiu Che
AU  - Chunxiao Han
PY  - 2015/01
DA  - 2015/01
TI  - Effect of Coupling Types on Synchronization of Weakly Coupled Bursting Neurons
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1930
EP  - 1937
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.254
DO  - 10.2991/isci-15.2015.254
ID  - Lu2015/01
ER  -