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Effect of astrocyte on synchronization of thermosensitive neuron–astrocyte minimum system

Chinese Physics B 2022年第8期31卷 325-336页

作者： Yi-Xuan Shan Hui-Lan Yang Hong-Bin Wang Shuai Zhang Ying Li Gui-Zhi Xu State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjin 300130China Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering Hebei University of TechnologyTianjin 300130China

Astrocytes have a regulatory function on the central nervous system(CNS), especially in the temperature-sensitive hippocampal region. In order to explore the thermosensitive dynamic mechanism of astrocytes in the CNS, we establish a neuron-astrocyte minimum system to analyze the synchronization change characteristics based on the hodgkin-huxley model, in which a pyramidal cell and an interneuron are connected by an astrocyte. The temperature range is set as 0-40 ℃ to juggle between theoretical calculation and the reality of a brain environment. It is shown that the synchronization of thermosensitive neurons exhibits nonlinear behavior with changes in astrocyte parameters. At a temperature range of0 ℃-18 ℃, the effects of the astrocyte can provide a tremendous influence on neurons in synchronization. We find the existence of a value for inositol triphosphate(IP_(3)) production rate and feedback intensities of astrocytes to neurons, which can ensure the weak synchronization of two neurons. In addition, it is revealed that the regulation of astrocytes to pyramidal cells is more sensitive than that to interneurons. Finally, it is shown that the synchronization and phase transition of neurons depend on the change in Ca^(2+) concentration at the temperature of weak synchronization. The results in this paper provide some enlightenment on the mechanism of cognitive dysfunction and neurological disorders with astrocytes.

关键词： astrocytes synchronization hodgkin–huxley model thermosensitive neuron

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Langevin approach with rescaled noise for stochastic channel dynamics in hodgkin–huxley neurons

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Chinese Physics B 2015年第12期24卷 74-78页

作者：黄艳东李翔帅建伟 Department of Physics Xiamen University

The Langevin approach has been applied to model the random open and closing dynamics of ion channels. It has long been known that the gate-based Langevin approach is not sufficiently accurate to reproduce the statistics of stochastic channel dynamics in hodgkin–huxley neurons. Here, we introduce a modified gate-based Langevin approach with rescaled noise strength to simulate stochastic channel dynamics. The rescaled independent gate and identical gate Langevin approaches improve the statistical results for the mean membrane voltage, inter-spike interval, and spike amplitude.

关键词： Langevin approach rescaled noise stochastic channel dynamics hodgkin–huxley model

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