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Spatial scale and place field stability in a grid-to-place cell model of the dorsoventral axis of the hippocampus

机译:海马背腹轴的栅格到位置细胞模型中的空间尺度和位置场稳定性

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摘要

The rodent hippocampus and entorhinal cortex contain spatially-modulated cells that serve as the basis for spatial coding. Both medial entorhinal grid cells and hippocampal place cells have been shown to encode spatial information across multiple spatial scales that increase along the dorsoventral axis of these structures. Place cells near the dorsal pole possess small, stable, and spatially selective firing fields, while ventral cells have larger, less stable and less spatially selective firing fields. One possible explanation for these dorsoventral changes in place field properties is that they arise as a result of similar dorsoventral differences in the properties of the grid cell inputs to place cells. Here we test the alternative hypothesis that dorsoventral place field differences are due to higher amounts of non-spatial inputs to ventral hippocampal cells. We use a computational model of the entorhinal-hippocampal network to assess the relative contributions of grid scale and non-spatial inputs in determining place field size and stability. In addition, we assess the consequences of grid node firing rate heterogeneity on place field stability. Our results suggest that dorsoventral differences in place cell properties can be better explained by changes in the amount of non-spatial inputs, rather than by changes in the scale of grid cell inputs, and that grid node heterogeneity may have important functional consequences. The observed gradient in field size may reflect a shift from processing primarily spatial information in the dorsal hippocampus to processing more non-spatial, contextual and emotional information near the ventral hippocampus.
机译:啮齿动物的海马和内嗅皮层包含空间调节的细胞,这些细胞作为空间编码的基础。内嗅神经网格细胞和海马位置细胞都已显示出编码沿这些结构的背腹轴增加的多个空间尺度上的空间信息。背极附近的放置细胞具有小的,稳定的和空间选择性的发射场,而腹侧细胞具有较大的,不稳定的和空间选择性的发射场。放置场属性的这些背腹变化的一种可能解释是,它们是由于放置单元的网格单元输入的属性的背腹相似而导致的。在这里,我们测试了另一种假设,即背腹位置场差异是由于腹侧海马细胞的非空间输入量增加所致。我们使用内海马海马网络的计算模型来评估网格规模和非空间输入在确定场所场的大小和稳定性方面的相对贡献。此外,我们评估了网格节点点火速率异质性对场场稳定性的影响。我们的结果表明,通过非空间输入量的变化,而不是通过网格单元输入量的变化,可以更好地解释位置单元属性的背腹差异,并且网格节点的异质性可能具有重要的功能后果。观察到的场大小梯度可能反映了从处理背侧海马的主要空间信息向处理腹侧海马附近的更多非空间,上下文和情感信息的转变。

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