Guanella Alexis, Kiper Daniel, Verschure Paul
Institute of Neuroinformatics, Swiss Federal Institute of Technology (ETH), 190 Winterthurerstrasse, 8057 Zürich, Switzerland.
Int J Neural Syst. 2007 Aug;17(4):231-40. doi: 10.1142/S0129065707001093.
The grid cells of the rat medial entorhinal cortex (MEC) show an increased firing frequency when the position of the animal correlates with multiple regions of the environment that are arranged in regular triangular grids. Here, we describe an artificial neural network based on a twisted torus topology, which allows for the generation of regular triangular grids. The association of the activity of pre-defined hippocampal place cells with entorhinal grid cells allows for a highly robust-to-noise calibration mechanism, suggesting a role for the hippocampal back-projections to the entorhinal cortex.
当动物的位置与以规则三角形网格排列的环境的多个区域相关时，大鼠内侧内嗅皮层（MEC）的网格细胞会表现出增加的放电频率。在此，我们描述了一种基于扭曲环面拓扑的人工神经网络，它能够生成规则的三角形网格。预定义的海马位置细胞的活动与内嗅网格细胞的关联允许一种对噪声高度鲁棒的校准机制，这表明海马向内侧内嗅皮层的反向投射具有一定作用。
