【24h】

Networks of planar neural organizing centers

机译:平面神经组织中心网络

获取原文
获取原文并翻译 | 示例

摘要

A codimension-three degenerate Bogdanov-Takens bifurcation at a cusp organizes Type Ⅰ excitability of neural membranes and has parameter regions for Type Ⅱ. We argue from the electrophysiology why this is expected. We derive and analyze a local canonical model for weakly connected neural networks of multiple such bifurcations. The canonical model suggests a dynamical form of the network adaptation conditions, which mimic an afterhyperpolarizing potential causing neuron spike frequency adaptation. We also simulate strongly connected neural oscillators and two-component models of mixed types constructed from this model, and bursting from periodic variation of parameters.
机译:一维三维简并的Bogdanov-Takens分叉处组织了神经膜的Ⅰ型兴奋性,并具有Ⅱ型参数区。我们从电生理学上论证了为什么会这样。我们推导并分析了多个此类分叉的弱连接神经网络的局部规范模型。典范模型提出了网络适应条件的动态形式,该条件模仿了导致神经元尖峰频率适应的超极化后电位。我们还模拟了强连接的神经振荡器和由此模型构造的混合类型的二元模型,以及因参数的周期性变化而爆发的模型。

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