首页> 美国卫生研究院文献>Journal of Mathematical Neuroscience >Modeling Focal Epileptic Activity in the Wilson–Cowan Model with Depolarization Block
【2h】

Modeling Focal Epileptic Activity in the Wilson–Cowan Model with Depolarization Block

机译:用去极化阻滞在Wilson-Cowan模型中模拟局灶性癫痫活动

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Measurements of neuronal signals during human seizure activity and evoked epileptic activity in experimental models suggest that, in these pathological states, the individual nerve cells experience an activity driven depolarization block, i.e. they saturate. We examined the effect of such a saturation in the Wilson–Cowan formalism by adapting the nonlinear activation function; we substituted the commonly applied sigmoid for a Gaussian function. We discuss experimental recordings during a seizure that support this substitution. Next we perform a bifurcation analysis on the Wilson–Cowan model with a Gaussian activation function. The main effect is an additional stable equilibrium with high excitatory and low inhibitory activity. Analysis of coupled local networks then shows that such high activity can stay localized or spread. Specifically, in a spatial continuum we show a wavefront with inhibition leading followed by excitatory activity. We relate our model simulations to observations of spreading activity during seizures.Electronic Supplementary MaterialThe online version of this article (doi:10.1186/s13408-015-0019-4) contains supplementary material .
机译:在实验模型中对人癫痫发作和诱发癫痫发作活动期间神经元信号的测量表明,在这些病理状态下,单个神经细胞会经历活动驱动的去极化阻滞,即饱和。我们通过调整非线性激活函数,研究了威尔逊-科恩形式主义中这种饱和的影响。我们用常用的S形代替高斯函数。我们讨论了癫痫发作期间支持这种替代的实验性录音。接下来,我们对具有高斯激活函数的Wilson-Cowan模型进行分叉分析。主要作用是具有高兴奋性和低抑制活性的额外稳定平衡。然后,对耦合本地网络的分析表明,这种高活动可以保持本地化或扩散。具体来说,在一个空间连续体中,我们显示出波前具有抑制作用,然后是兴奋性活动。我们将模型模拟与癫痫发作期间散布活动的观察联系起来。电子补充材料本文的在线版本(doi:10.1186 / s13408-015-0019-4)包含补充材料。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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