DocumentCode :
436678
Title :
The chaos in the synchrony of abnormal oscillations in a pair of neurons coupled via gap junction
Author :
Ge Manling ; Guo Hongyong ; Guoya, Dong ; Wenyan, Jia ; Ying, Li ; Minggui, Sun ; Baozhu, Wang ; Weili, Yan
Author_Institution :
Sch. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China
Volume :
3
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
2210
Abstract :
The synchrony of abnormally excitable neurons is a hallmark in epileptic seizure. In order to study the nonlinear oscillations in two neurons coupled via gap junction in epilepsy, the model of a pair of neurons is derived from Chay model that gives many kinds of abnormal oscillations in excitable neurons by three nonlinear variables dynamics equations. The synchrony between two electrically coupled excitable neurons is found and a theoretical effort is carried out to investigate the chaos in the synchronous oscillations of the membrane potentials by the Lyapunov exponent and the phase portrait. It is shown that synchronous abnormal oscillations of membrane potentials can occur when the coupling strength of gap junction is large enough and the concentration of Ca2 ions does not synchronize while the membrane potentials are synchronous and the coupling mechanism is chaotic. It is concluded that the synchrony and the chaos make birth to the new oscillations while disorder process such as epileptic seizure. The theoretical analysis may be helpful to investigate the mechanism of synchrony and the relationship between abnormal oscillations and gap junctions from nonlinear oscillatory points of view.
Keywords :
Lyapunov methods; bioelectric phenomena; chaos; diseases; ions; neural nets; nonlinear equations; oscillations; Chay model; Lyapunov exponent; abnormally excitable neuron; electrically coupled excitable neuron; epileptic seizure; gap junction; membrane potential; nonlinear oscillation; nonlinear variables dynamics equation; synchronous oscillation; Bifurcation; Biomembranes; Chaos; Couplings; Epilepsy; Neurons; Neurosurgery; Nonlinear equations; Oscillators; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1442217
Filename :
1442217
Link To Document :
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