Diffusive coupling can induce synchronized periodic activity in neural networks.
Diffusive coupling can induce synchronized periodic activity in neural networks.
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扩散耦合可以引起神经网络中的同步周期性活动。
DOI：
10.1109/iembs.2008.4650005
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Park,EY
中科院分区：
文献类型：
--
作者：
Durand,DM;Park,EY
扩散耦合也称为最近邻耦合，是一种常见的耦合形式，但它在神经回路行为中的作用尚不清楚。先前的实验和理论研究已经表明钾横向扩散耦合（即，扩散偶联）负责神经元活动的同步。我们测试的假设，钾的横向扩散耦合需要产生周期性癫痫样活动的零钙+CA 1锥体神经元网络模型。模拟结果表明，钾的横向扩散耦合是至关重要的建立一个周期性的同步癫痫样活动中观察到的实验准备。这一结果表明，钾横向扩散耦合-扩散耦合概念的生理实现-可以在网络行为中发挥作用。
Diffusive coupling also known as nearest-neighbor coupling is a common form of coupling but its role in the behavior of neural circuits is unclear. Previous experimental and theoretical studies have shown that potassium lateral diffusion coupling (i.e., diffusive coupling) was responsible for synchronization of neuronal activity. We tested the hypothesis that potassium lateral diffusion coupling is required to generate periodic epileptiform activity in a zero-Ca2+CA1 pyramidal neuron network model. The simulation results show that potassium lateral diffusion coupling is crucial for establishing a periodic synchronized epileptiform activity similar to that observed in experimental preparations. This results suggest that potassium lateral diffusion coupling - a physiological realization of the concept of diffusive coupling - can play a role in network behavior.