A boundary vector cell model of place field repetition
A boundary vector cell model of place field repetition
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DOI：
10.1080/13875868.2018.1437621
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发表时间：
2018-01-01
影响因子：
1.9
通讯作者：
Dudchenko, Paul A.
中科院分区：
文献类型：
--
作者：
Grieves, Roddy M.;Duvelle, Eleonore;Dudchenko, Paul A.
海马位置细胞被认为是形成整体认知地图的神经基质。然而，在多室迷宫中，这些细胞表现出局部重复的表征，破坏了位置细胞的全局认知地图视图。这种现象似乎与这些迷宫的重复布局有关，但仍然没有假设充分地解释it.There，我们使用边界向量细胞（BVC）模型的位置细胞放电模拟在众多的多室环境中的位置细胞的活动。模拟的位置细胞的活动与实验数据惊人地相似，几乎复制了所有主要的实验结果。我们的研究结果支持BVC模型，并表明，局部重复的位置细胞放电可能纯粹是由于局部几何。
Hippocampal place cells are thought to form the neural substrate of a global cognitive map. However, in multicompartment mazes, these cells exhibit locally repeating representations, undermining the global cognitive map view of place cells. This phenomenon appears to be related to the repetitive layout of these mazes, but still no hypothesis adequately explains it. Here, we use a boundary vector cell (BVC) model of place cell firing to model the activity of place cells in numerous multicompartment environments. The activity of modeled place cells bears a striking resemblance to experimental data, replicating virtually every major experimental result. Our results support the BVC model and indicate that locally repeating place cell firing could result purely from local geometry.