首页> 外文会议>Annual American Control Conference >A Computational Study of a Spatially Continuum Mean Field Model Capturing Loss of Consciousness and the Emergence of Alpha and Gamma Rhythmic Activity in the Neocortex
【24h】

A Computational Study of a Spatially Continuum Mean Field Model Capturing Loss of Consciousness and the Emergence of Alpha and Gamma Rhythmic Activity in the Neocortex

机译:空间连续平均场模型的计算研究,该模型捕获新皮层的意识丧失以及阿尔法和伽玛节律性活动的出现

获取原文

摘要

In this paper, we analyze the spatio-temporal mean field model developed by Liley et al. [1] in order to advance our understanding of the wide effects of pharmacological agents and anesthetics. Specifically, we use the spatio-temporal mean field model in [1] for capturing the electrical activity in the neocortex to computationally study the emergence of aand -ϒ-band rhythmic activity in the brain. We show that a oscillations in the solutions of the model appear globally across the neocortex, whereas ϒ oscillations can emerge locally as a result of a bifurcation in the dynamics of the model. We solve the dynamic equations of the model using a finite element solver package and show that our results verify the predictions made by bifurcation analysis.
机译:在本文中,我们分析了Liley等人开发的时空平均场模型。 [1]为了加深我们对药理剂和麻醉剂广泛作用的理解。具体来说,我们使用文献[1]中的时空平均场模型来捕获新皮层中的电活动,从而以计算方式研究大脑中aand -ϒ-波段节律活动的出现。我们表明,模型的解中出现了一个振荡,整个新皮质都出现了,而ϒ的振荡则可能由于模型动力学的分叉而局部出现。我们使用有限元求解程序包求解了模型的动力学方程,并表明我们的结果验证了分叉分析得出的预测。

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