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A boundary vector cell model of place field repetition
Spatial Cognition & Computation ( IF 1.533 ) Pub Date : 2018-03-02 , DOI: 10.1080/13875868.2018.1437621
Roddy M Grieves 1 , Éléonore Duvelle 1 , Paul A Dudchenko 2, 3
Affiliation  

ABSTRACT

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.



中文翻译:

场重复的边界向量元胞模型

摘要

海马地方细胞被认为形成了整体认知图的神经底物。但是,在多隔间迷宫中,这些细胞表现出局部重复的表现,从而破坏了位置细胞的整体认知图谱。这种现象似乎与这些迷宫的重复布局有关,但是仍然没有任何假设可以充分解释这一现象。在这里,我们使用位置向量触发的边界矢量单元(BVC)模型来模拟许多多隔室环境中位置单元的活动。建模的位置细胞的活性与实验数据极为相似,几乎复制了每个主要的实验结果。我们的结果支持BVC模型,并表明局部重复的位置电池放电可能纯粹是由局部几何形状引起的。

更新日期:2018-03-02
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