Spatial periodicity in grid cell firing is explained by a neural sequence code of 2-D trajectories.

Rebecca R G, Giorgio A Ascoli, Nate M Sutton, Holger Dannenberg
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Abstract

Spatial periodicity in grid cell firing has been interpreted as a neural metric for space providing animals with a coordinate system in navigating physical and mental spaces. However, the specific computational problem being solved by grid cells has remained elusive. Here, we provide mathematical proof that spatial periodicity in grid cell firing is the only possible solution to a neural sequence code of 2-D trajectories and that the hexagonal firing pattern of grid cells is the most parsimonious solution to such a sequence code. We thereby provide a likely teleological cause for the existence of grid cells and reveal the underlying nature of the global geometric organization in grid maps as a direct consequence of a simple local sequence code. A sequence code by grid cells provides intuitive explanations for many previously puzzling experimental observations and may transform our thinking about grid cells.

Abstract Image

Abstract Image

Abstract Image

网格单元发射的空间周期性由二维轨迹的神经序列代码来解释。
网格细胞放电的空间周期性被解释为空间的神经度量,为动物提供了在物理和心理空间中导航的坐标系。然而,网格单元所解决的具体计算问题仍然难以捉摸。我们在这里提供了数学证明,网格单元发射的空间周期性是2D轨迹的神经序列代码的唯一可能的解决方案,并且网格单元的六边形发射模式是这种序列代码的最简约的解决方案。因此,我们为网格细胞的存在提供了一个目的论原因,并揭示了网格图中全局几何组织的潜在性质,这是使用最少神经元的简单局部序列代码的直接结果。网格单元的序列代码为许多以前令人困惑的实验观察提供了直观的解释,并可能改变我们对网格单元的看法。
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