首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Diffusive Coupling can induce synchronized periodic activity in neural networks DM Durand and EY Park
【24h】

Diffusive Coupling can induce synchronized periodic activity in neural networks DM Durand and EY Park

机译:扩散耦合可以在神经网络DM Durand和Ey Park中诱导同步的周期性活动

获取原文

摘要

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-Ca{sup}(2+) CAI 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.
机译:差扩散耦合也称为最近邻接耦合是一种常见的耦合形式,但其在神经电路的行为中的作用尚不清楚。以前的实验和理论研究表明,钾横向扩散耦合(即,扩散偶联)负责神经元活动的同步。我们测试了钾,横向扩散耦合所需的假设,以产生零Ca {sup}(2+)Cai金字塔金字塔网络模型中的周期性癫痫型活性。仿真结果表明,钾横向扩散耦合对于建立类似于实验制剂中观察到的周期性同步的癫痫型活性至关重要。该结果表明,钾横向扩散耦合 - 扩散耦合概念的生理学实现 - 可以在网络行为中发挥作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号