The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.
The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.
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DOI：
10.1093/cercor/bhs358
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发表时间：
2014-03
期刊：
影响因子：
--
通讯作者：
Diesmann M
中科院分区：
文献类型：
--
作者：
Potjans TC;Diesmann M
在过去的十年中，局部皮层网络的细胞类型特异性连接和活动已经被实验表征到一些细节。与此同时，建模已被建立作为一种工具，将网络结构与活动动态联系起来。虽然现有的全面的连接图（）已被用于各种计算研究，模拟活动的突出特点，如自发放电率不匹配的实验结果。在这里，我们分析了这些地图的属性，以编译一个集成的连接图，其中还包含了对特定目标类型选择的见解。在此基础上，我们建立了一个完整的局部皮层微电路的尖峰网络模型。模拟的自发活动是异步的不规则的和细胞类型的特定的放电率是在清醒的动物体内记录，包括2/3层兴奋性细胞的低速率一致。兴奋和抑制的相互作用捕获了短暂丘脑刺激后通过皮层的活动流。总之，整合大量可用的连接数据使我们能够揭示皮层微电路的动态后果。
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 available comprehensive 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 analyze the properties of these maps to compile an integrated connectivity map, which additionally incorporates insights on the specific selection of target types. Based on this integrated map, we build a full-scale spiking network model of the local cortical microcircuit. The simulated spontaneous activity is asynchronous irregular and cell-type specific firing rates are in agreement with in vivo recordings in awake animals, including the low rate of layer 2/3 excitatory cells. The interplay of excitation and inhibition captures the flow of activity through cortical layers after transient thalamic stimulation. In conclusion, the integration of a large body of the available connectivity data enables us to expose the dynamical consequences of the cortical microcircuitry.
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影响因子：
25
作者：
Dantzker, JL;Callaway, EM
通讯作者：
Callaway, EM
影响因子：
1.3
作者：
Djurfeldt, M.;Lundqvist, M.;Lansner, A.
通讯作者：
Lansner, A.
影响因子：
3
作者：
Djurfeldt, Mikael;Hjorth, Johannes;Ekeberg, Orjan
通讯作者：
Ekeberg, Orjan
DOI：
10.1073/pnas.0901831106
发表时间：
2009-06-23
影响因子：
11.1
作者：
Deco, Gustavo;Jirsa, Viktor;Koetter, Rolf
通讯作者：
Koetter, Rolf
影响因子：
5.3
作者：
Binzegger, Tom;Douglas, Rodney J.;Martin, Kevan A. C.
通讯作者：
Martin, Kevan A. C.