The cell-type specific connectivity of the local cortical network explains prominent features of neuronal activity
The cell-type specific connectivity of the local cortical network explains prominent features of neuronal activity
复制标题
局部皮质网络的细胞类型特异性连接解释了神经元活动的显着特征
DOI：
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
M. Diesmann
中科院分区：
文献类型：
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作者：
Tobias C. Potjans;M. Diesmann
在过去的十年中，局部皮层网络的细胞类型特异性连通性和活性已经得到了一些详细的实验表征。同时，建模作为一种将网络结构与活动动力学联系起来的工具已经建立起来。虽然可用的连接图已用于各种计算研究，但模拟活动的突出特征（如自发放电率）与实验结果不符。在这里，我们展示了不一致是由连接映射的不完整性引起的。我们比较了最全面的地图（Thomson et al., 2002; Binzegger et al., 2004），揭示了它们的主要差异：横向采样范围和目标细胞的特定选择。考虑到这些因素，我们编制了一个综合的连通性图，并通过模拟局部层状皮质网络的全比例尺模型来分析统一的图。模拟的自发活动是不同步的，不规则的，细胞类型特异性的自发放电率与清醒动物的体内记录一致，包括2/3层兴奋细胞的低率。同样，瞬态丘脑输入引起的激活模式重现了最近的体内测量。仿真结果与实验结果的一致性取决于对特定目标类型选择的考虑，从而取决于对大量可用连接数据的集成。细胞类型特定的分层输入结构以及前馈和反馈连接的结合揭示了兴奋和抑制的相互作用如何塑造局部皮层网络的自发和诱发活动。
In the past decade, the cell-type specific connectivity and activity of local cortical networks have been characterized experimentally to some detail. In parallel, modeling has been established as a tool to relate network structure to activity dynamics. While the available connectivity maps have been used in various computational studies, prominent features of the simulated activity such as the spontaneous firing rates do not match the experimental findings. Here, we show that the inconsistency arises from the incompleteness of the connectivity maps. Our comparison of the most comprehensive maps (Thomson et al., 2002; Binzegger et al., 2004) reveals their main discrepancies: the lateral sampling range and the specific selection of target cells. Taking them into account, we compile an integrated connectivity map and analyze the unified map by simulations of a full scale model of the local layered cortical network. The simulated spontaneous activity is asynchronous irregular and the cell-type specific spontaneous firing rates are in agreement with in vivo recordings in awake animals, including the low rate of layer 2/3 excitatory cells. Similarly, the activation patterns evoked by transient thalamic inputs reproduce recent in vivo measurements. The correspondence of simulation results and experiments rests on the consideration of specific target type selection and thereby on the integration of a large body of the available connectivity data. The cell-type specific hierarchical input structure and the combination of feed-forward and feedback connections reveal how the interplay of excitation and inhibition shapes the spontaneous and evoked activity of the local cortical network.
影响因子：
3.7
作者：
Stepanyants, Armen;Hirsch, Judith A.;Chklovskii, Dmitri B.
通讯作者：
Chklovskii, Dmitri B.
影响因子：
2.5
作者：
Beierlein, M;Connors, BW
通讯作者：
Connors, BW
影响因子：
3.7
作者：
Thomson, AM;West, DC;Bannister, AP
通讯作者：
Bannister, AP