论文标题
线性阈值丘脑皮质网络的选择性抑制和招募
Selective Inhibition and Recruitment of Linear-Threshold Thalamocortical Networks
论文作者
论文摘要
神经科学的证据表明，对于大多数大脑网络，皮质区域之间的所有途径都通过丘脑或脑丘脑平行路线，对于任何直接皮质皮层连接。本文旨在正式研究所得的丘脑皮质脑网络的动态行为，以表征丘脑及其益处的抑制作用。我们采用线性阈值中尺度模型来单个大脑子网，并研究层次结构和与星形相互连接的丘脑皮层网络。使用奇异扰动理论和切换系统中的工具，我们表明可以通过反馈和馈电控制的结合在此类网络中实现选择性抑制和招聘。整个博览会中的各种模拟都说明了丘脑在故障安全机制，所需的控制幅度和网络性能中所带来的好处。
Neuroscientific evidence shows that for most brain networks all pathways between cortical regions either pass through the thalamus or a transthalamic parallel route exists for any direct corticocortical connection. This paper seeks to formally study the dynamical behavior of the resulting thalamocortical brain networks with a view to characterizing the inhibitory role played by the thalamus and its benefits. We employ a linear-threshold mesoscale model for individual brain subnetworks and study both hierarchical and star-connected thalamocortical networks. Using tools from singular perturbation theory and switched systems, we show that selective inhibition and recruitment can be achieved in such networks through a combination of feedback and feedforward control. Various simulations throughout the exposition illustrate the benefits resulting from the presence of the thalamus regarding failsafe mechanisms, required control magnitude, and network performance.
