Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning
Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning
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DOI：
10.1080/09548980601064846
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发表时间：
2006-12-01
影响因子：
7.8
通讯作者：
Elliot, Thomas
中科院分区：
文献类型：
--
作者：
Rolls, Edmund T.;Stringer, Simon M.;Elliot, Thomas
当老鼠位于覆盖环境的等边三角形网格的任何一个顶点时，其背尾内侧内嗅皮层（dMEC）中的“网格细胞”就会被激活。dMEC网格单元具有不同的频率和相位偏移。然而，啮齿动物的齿状回（DG）和海马区CA3的细胞通常显示位置场，其中单个细胞仅在空间的单个部分活跃。在海马体模型中，我们已经表明，从内嗅皮层到齿状颗粒细胞的连通性可以允许齿状颗粒细胞作为一个竞争网络运作，以重新编码它们的输入以产生稀疏的正交表示，这包括空间模式分离。在本文中，我们证明了相同的计算假设可以解释EC网格细胞到齿状位置细胞的映射。我们表明，竞争网络中的学习是实现映射的一个重要部分。我们进一步表明，在联想学习中加入短期记忆痕迹可以帮助产生在海马体中发现的相对广阔的位置场。
'Grid cells' in the dorsocaudal medial entorhinal cortex (dMEC) are activated when a rat is located at any of the vertices of a grid of equilateral triangles covering the environment. dMEC grid cells have different frequencies and phase offsets. However, cells in the dentate gyrus (DG) and hippocampal area CA3 of the rodent typically display place fields, where individual cells are active over only a single portion of the space. In a model of the hippocampus, we have shown that the connectivity from the entorhinal cortex to the dentate granule cells could allow the dentate granule cells to operate as a competitive network to recode their inputs to produce sparse orthogonal representations, and this includes spatial pattern separation. In this paper we show that the same computational hypothesis can account for the mapping of EC grid cells to dentate place cells. We show that the learning in the competitive network is an important part of the way in which the mapping can be achieved. We further show that incorporation of a short term memory trace into the associative learning can help to produce the relatively broad place fields found in the hippocampus.