A Topological Model of the Hippocampal Cell Assembly Network
A Topological Model of the Hippocampal Cell Assembly Network
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DOI：
10.3389/fncom.2016.00050
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发表时间：
2016-06-02
影响因子：
3.2
通讯作者：
Dabaghian, Yuri A.
中科院分区：
文献类型：
--
作者：
Babichev, Andrey;Ji, Daoyun;Dabaghian, Yuri A.
人们普遍认为，海马区细胞的尖峰活动产生了一幅空间认知地图。然而，这种代表的生理机制的许多细节仍不清楚。例如，人们认为，表现出频繁协同作用的位置细胞形成功能互连的基团，位置细胞组件驱动下游网络中的读出神经元。然而，共作用组合的绝对数量是非常大的，这意味着它们中只有一小部分实际上产生了细胞组装。负责选择获胜组合的生理过程非常复杂，通常通过详细的突触和结构可塑性机制来模拟。在这里，我们提出了一种替代方法，允许基于少量的现象学选择规则直接对电池组装网络进行建模。然后，我们证明了所选择的位置细胞组装的群体在生物学上可信的时间内正确地编码了环境的拓扑，并且可以作为海马区网络的示意图模型。
It is widely accepted that the hippocampal place cells' spiking activity produces a cognitive map of space. However, many details of this representation's physiological mechanism remain unknown. For example, it is believed that the place cells exhibiting frequent coactivity form functionally interconnected groups place cell assemblies that drive readout neurons in the downstream networks. However, the sheer number of coactive combinations is extremely large, which implies that only a small fraction of them actually gives rise to cell assemblies. The physiological processes responsible for selecting the winning combinations are highly complex and are usually modeled via detailed synaptic and structural plasticity mechanisms. Here we propose an alternative approach that allows modeling the cell assembly network directly, based on a small number of phenomenological selection rules. We then demonstrate that the selected population of place cell assemblies correctly encodes the topology of the environment in biologically plausible time, and may serve as a schematic model of the hippocampal network.