Muller Lyle, Destexhe Alain
Unité de Neurosciences, Information, et Complexité, CNRS, Gif-sur-Yvette, France.
J Physiol Paris. 2012 Sep-Dec;106(5-6):222-38. doi: 10.1016/j.jphysparis.2012.06.005. Epub 2012 Aug 2.
Propagating waves of activity have been recorded in many species, in various brain states, brain areas, and under various stimulation conditions. Here, we review the experimental literature on propagating activity in thalamus and neocortex across various levels of anesthesia and stimulation conditions. We also review computational models of propagating waves in networks of thalamic cells, cortical cells and of the thalamocortical system. Some discrepancies between experiments can be explained by the "network state", which differs vastly between anesthetized and awake conditions. We introduce a network model displaying different states and investigate their effect on the spatial structure of self-sustained and externally driven activity. This approach is a step towards understanding how the intrinsically-generated ongoing activity of the network affects its ability to process and propagate extrinsic input.
在许多物种中，在各种脑状态、脑区以及各种刺激条件下，均记录到了活动的传播波。在此，我们回顾了关于丘脑和新皮层在不同麻醉水平和刺激条件下活动传播的实验文献。我们还回顾了丘脑细胞网络、皮层细胞网络以及丘脑皮层系统中传播波的计算模型。实验之间的一些差异可以用“网络状态”来解释，麻醉状态和清醒状态下的网络状态差异极大。我们引入了一个展示不同状态的网络模型，并研究它们对自持活动和外部驱动活动空间结构的影响。这种方法是朝着理解网络内在产生的持续活动如何影响其处理和传播外部输入能力迈出的一步。
