论文标题
神经动力学中的Poincare返回地图：三个示例
Poincare return maps in neural dynamics: three examples
论文作者
论文摘要
了解单个神经元和神经网络的现实模型中不同活动模式之间过渡的发作和通用机制，对应用动力学系统的理论提出了一个基本挑战。我们使用三个慢速神经系统的示例来展示一套新的计算工具来研究各种神经元系统。
Understanding of the onset and generic mechanisms of transitions between distinct patterns of activity in realistic models of individual neurons and neural networks presents a fundamental challenge for the theory of applied dynamical systems. We use three examples of slow-fast neural systems to demonstrate a suite of new computational tools to study diverse neuronal systems.
