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The transformation from grid cells to place cells is robust to noise in the grid pattern

机译:从网格单元到放置单元的转换对网格模式中的噪声具有鲁棒性

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Spatial navigation in rodents has been attributed to place-selective cells in the hippocampus and entorhinal cortex. However, there is currently no consensus on the neural mechanisms that generate the place-selective activity in hippocampal place cells or entorhinal grid cells. Given the massive input connections from the superficial layers of the entorhinal cortex to place cells in the hippocampal cornu ammonis (CA) regions, it was initially postulated that grid cells drive the spatial responses of place cells. However, recent experiments have found that place cell responses are stable even when grid cell responses are severely distorted, thus suggesting that place cells cannot receive their spatial information chiefly from grid cells. Here, we offer an alternative explanation. In a model with linear grid-to-place-cell transformation, the transformation can be very robust against noise in the grid patterns depending on the nature of the noise. In the two more realistic noise scenarios, the transformation was very robust, while it was not in the other two scenarios. Although current experimental data suggest that other types of place-selective cells modulate place cell responses, our results show that the simple grid-to-place-cell transformation alone can account for the origin of place selectivity in the place cells.
机译:啮齿动物的空间导航已归因于海马和内嗅皮层中的位置选择细胞。但是,目前尚无关于在海马体细胞或内嗅网格细胞中产生位置选择活性的神经机制的共识。鉴于从内嗅皮质表层的大量输入连接将细胞放置在海马角膜(CA)区域中,最初假定网格细胞驱动了位置细胞的空间响应。但是,最近的实验发现,即使网格单元的响应严重失真,位置单元的响应也是稳定的,这表明位置单元不能主要从网格单元接收其空间信息。在这里,我们提供了另一种解释。在具有线性栅格到位置单元转换的模型中,根据噪声的性质,转换对于栅格模式中的噪声可能非常鲁棒。在两个更现实的噪声场景中,转换非常健壮,而在其他两个场景中则没有。尽管当前的实验数据表明其他类型的位置选择单元格可以调节位置单元格的响应,但我们的结果表明,仅简单的网格到位置单元格的转换就可以说明位置单元格中位置选择性的起源。

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