Blair Hugh T, Welday Adam C, Zhang Kechen
University of California, Los Angeles Psychology Department, Los Angeles, California 90095, USA.
J Neurosci. 2007 Mar 21;27(12):3211-29. doi: 10.1523/JNEUROSCI.4724-06.2007.
The dorsomedial entorhinal cortex (dMEC) of the rat brain contains a remarkable population of spatially tuned neurons called grid cells (Hafting et al., 2005). Each grid cell fires selectively at multiple spatial locations, which are geometrically arranged to form a hexagonal lattice that tiles the surface of the rat's environment. Here, we show that grid fields can combine with one another to form moiré interference patterns, referred to as "moiré grids," that replicate the hexagonal lattice over an infinite range of spatial scales. We propose that dMEC grids are actually moiré grids formed by interference between much smaller "theta grids," which are hypothesized to be the primary source of movement-related theta rhythm in the rat brain. The formation of moiré grids from theta grids obeys two scaling laws, referred to as the length and rotational scaling rules. The length scaling rule appears to account for firing properties of grid cells in layer II of dMEC, whereas the rotational scaling rule can better explain properties of layer III grid cells. Moiré grids built from theta grids can be combined to form yet larger grids and can also be used as basis functions to construct memory representations of spatial locations (place cells) or visual images. Memory representations built from moiré grids are automatically endowed with size invariance by the scaling properties of the moiré grids. We therefore propose that moiré interference between grid fields may constitute an important principle of neural computation underlying the construction of scale-invariant memory representations.
大鼠脑内的背内侧内嗅皮质(dMEC)含有一类数量可观的空间调谐神经元,称为网格细胞(哈夫廷等人,2005年)。每个网格细胞在多个空间位置选择性放电,这些位置呈几何排列,形成六边形晶格,覆盖大鼠所处环境的表面。在此,我们表明网格场可相互组合形成莫尔干涉图案,即“莫尔网格”,其在无限的空间尺度范围内复制六边形晶格。我们提出dMEC网格实际上是由更小的“θ网格”之间的干涉形成的莫尔网格,据推测,θ网格是大鼠脑内与运动相关的θ节律的主要来源。由θ网格形成莫尔网格遵循两条缩放定律,即长度缩放规则和旋转缩放规则。长度缩放规则似乎可解释dMEC第二层网格细胞的放电特性,而旋转缩放规则能更好地解释第三层网格细胞的特性。由θ网格构建的莫尔网格可组合形成更大的网格,还可作为基函数用于构建空间位置(位置细胞)或视觉图像的记忆表征。由莫尔网格构建的记忆表征通过莫尔网格的缩放特性自动具备尺寸不变性。因此,我们提出网格场之间的莫尔干涉可能构成神经计算的一个重要原理,是构建尺度不变记忆表征的基础。