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Collective responses in electrical activities of neurons under field coupling

机译:场耦合作用下神经元电活动的集体反应

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摘要

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.
机译:突触耦合可以有益于神经元之间的信号交换和神经元的信息编码,并且通常在化学或电突触耦合下讨论诸如同步和模式选择的集体行为。当离子电流流过膜且离子浓度发生波动时,在分子水平上考虑电磁感应。磁通量描述了随时间变化的电磁场的影响,忆阻器根据尺寸要求桥接膜电位和磁通量。实际上,当突触耦合不可用时,场耦合可以通过触发电场叠加来促进神经元之间的信号交换。设计了一个链网络,以研究通过相邻神经元之间的电突触连接的神经元网络中的集体行为对场耦合的调制。在链网络中,通过引入取决于两个神经元之间位置距离的适当权重来描述每个神经元的场耦合作用。同步的统计因子是通过更改外部刺激和场耦合权重来计算的。发现同步程度取决于耦合强度和权重,可以通过场耦合来调制与间隙连接相连的网络的同步,模式选择。

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