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场耦合下神经元电活动的集体响应。

Collective responses in electrical activities of neurons under field coupling.

机构信息

Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan, 430079, China.

Department of Physics, Lanzhou University of Technology, Lanzhou, 730050, China.

出版信息

Sci Rep. 2018 Jan 22;8(1):1349. doi: 10.1038/s41598-018-19858-1.

Abstract

Synapse coupling can benefit signal exchange between neurons and information encoding for neurons, and the collective behaviors such as synchronization and pattern selection in neuronal network are often discussed under chemical or electric synapse coupling. Electromagnetic induction is considered at molecular level when ion currents flow across the membrane and the ion concentration is fluctuated. Magnetic flux describes the effect of time-varying electromagnetic field, and memristor bridges the membrane potential and magnetic flux according to the dimensionalization requirement. Indeed, field coupling can contribute to the signal exchange between neurons by triggering superposition of electric field when synapse coupling is not available. A chain network is designed to investigate the modulation of field coupling on the collective behaviors in neuronal network connected by electric synapse between adjacent neurons. In the chain network, the contribution of field coupling from each neuron is described by introducing appropriate weight dependent on the position distance between two neurons. Statistical factor of synchronization is calculated by changing the external stimulus and weight of field coupling. It is found that the synchronization degree is dependent on the coupling intensity and weight, the synchronization, pattern selection of network connected with gap junction can be modulated by field coupling.

摘要

突触耦合可以有利于神经元之间的信号交换和信息编码,神经元网络中的同步和模式选择等集体行为通常在化学或电突触耦合下进行讨论。当离子电流穿过细胞膜并且离子浓度波动时,会在分子水平上考虑电磁感应。磁通量描述时变电磁场的效果,而忆阻器根据维度化要求连接膜电位和磁通量。实际上,当突触耦合不可用时,场耦合可以通过触发电场的叠加来促进神经元之间的信号交换。设计了一个链式网络来研究场耦合对由相邻神经元之间的电突触连接的神经元网络的集体行为的调制。在链式网络中,通过引入与两个神经元之间的位置距离有关的适当权重,来描述来自每个神经元的场耦合的贡献。通过改变外部刺激和场耦合的权重来计算同步的统计因子。结果发现,同步程度取决于耦合强度和权重,通过场耦合可以调制具有间隙连接的网络的同步、模式选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f235/5778049/19dd5ddef8dc/41598_2018_19858_Fig1_HTML.jpg

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