Liske Benjamin, Schwarz Jürgen, Stevens Andreas
Universitätsklinik für Psychiatrie und Psychotherapie, Osianderstr. 24, D-72076 Tübingen, Germany.
J Physiol Paris. 2006 Jan;99(1):66-71. doi: 10.1016/j.jphysparis.2005.06.008. Epub 2005 Aug 8.
One of development issues for information processing with synchronous oscillations in the brain is how new information is coded and how a comparison with already existing information is performed. In the present work we study a simple neural network model of the thalamo-reticular system based on the Wilson-Cowan model of neuronal oscillatory behavior. Our results show that both cortical control over the thalamus and external sensory input are essential in coordinating and generating spatio-temporal patterns of synchronous activity. A main finding of the numerical simulations is that the network connectivity and the intrinsic oscillatory properties of the neurons result in distinct collective behaviors within the network. By varying the connectivity schemes comparable with lesionated or damaged brain regions our results are in good agreement with in vivo experimental results. Suppressing the sensory input results in temporal oscillatory activity in the beta and gamma range and a strong spatial dependence of the network activity.
大脑中同步振荡进行信息处理的一个发展问题是新信息如何被编码以及如何与已有的信息进行比较。在本研究中，我们基于神经元振荡行为的威尔逊-考恩模型，研究了丘脑网状系统的一个简单神经网络模型。我们的结果表明，皮层对丘脑的控制以及外部感觉输入对于协调和产生同步活动的时空模式至关重要。数值模拟的一个主要发现是，网络连接性和神经元的固有振荡特性导致了网络内不同的集体行为。通过改变与受损或损伤脑区相当的连接方案，我们的结果与体内实验结果高度一致。抑制感觉输入会导致β和γ范围内的时间振荡活动以及网络活动的强烈空间依赖性。
