标题： 稳定性的储库：皮层电路动力学中的通量管 显示英文标题

标题： Reservoirs of Stability: Flux Tubes in the Dynamics of Cortical Circuits

摘要： 在大脑皮层神经元中触发一个额外的尖峰最近被证明会在网络中引发一系列额外的尖峰，这可能会迅速使网络的微状态去相关。 这种皮层网络的极端敏感性的机制目前还不太清楚。 在这里，我们在一个最小的皮层回路动力学模型中表明，单个尖峰甚至单个突触扰动后的指数态分离与对无限小态扰动的动力学稳定性共存。 我们提出了一种统一的图像，即包含唯一稳定轨迹的指数分离通量管，这些轨迹构成了网络状态空间。 显示英文摘要

摘要： Triggering a single additional spike in a cerebral cortical neuron was recently demonstrated to cause a cascade of extra spikes in the network that is likely to rapidly decorrelate the network's microstate. The mechanisms involved in this extreme sensitivity of cortical networks are currently not well understood. Here, we show in a minimal model of cortical circuit dynamics that exponential state separation after single spike and even single synapse perturbations coexists with dynamical stability to infinitesimal state perturbations. We propose a unifying picture of exponentially separating flux tubes enclosing unique stable trajectories composing the networks' state spaces.