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内嗅皮质中的海马重映射和网格重新校准

Hippocampal remapping and grid realignment in entorhinal cortex.

作者信息

Fyhn Marianne, Hafting Torkel, Treves Alessandro, Moser May-Britt, Moser Edvard I

机构信息

Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway.

出版信息

Nature. 2007 Mar 8;446(7132):190-4. doi: 10.1038/nature05601. Epub 2007 Feb 25.

DOI:10.1038/nature05601
PMID:17322902
Abstract

A fundamental property of many associative memory networks is the ability to decorrelate overlapping input patterns before information is stored. In the hippocampus, this neuronal pattern separation is expressed as the tendency of ensembles of place cells to undergo extensive 'remapping' in response to changes in the sensory or motivational inputs to the hippocampus. Remapping is expressed under some conditions as a change of firing rates in the presence of a stable place code ('rate remapping'), and under other conditions as a complete reorganization of the hippocampal place code in which both place and rate of firing take statistically independent values ('global remapping'). Here we show that the nature of hippocampal remapping can be predicted by ensemble dynamics in place-selective grid cells in the medial entorhinal cortex, one synapse upstream of the hippocampus. Whereas rate remapping is associated with stable grid fields, global remapping is always accompanied by a coordinate shift in the firing vertices of the grid cells. Grid fields of co-localized medial entorhinal cortex cells move and rotate in concert during this realignment. In contrast to the multiple environment-specific representations coded by place cells in the hippocampus, local ensembles of grid cells thus maintain a constant spatial phase structure, allowing position to be represented and updated by the same translation mechanism in all environments encountered by the animal.

摘要

许多联想记忆网络的一个基本特性是,在信息存储之前能够使重叠的输入模式去相关。在海马体中,这种神经元模式分离表现为,位置细胞集群倾向于响应海马体感觉或动机输入的变化而进行广泛的“重映射”。在某些条件下,重映射表现为在稳定的位置编码存在时放电率的变化(“速率重映射”),而在其他条件下,则表现为海马体位置编码的完全重组,其中位置和放电率都取统计上独立的值(“全局重映射”)。在这里,我们表明,海马体重映射的性质可以通过海马体上游一个突触处的内侧内嗅皮质中位置选择性网格细胞的集群动力学来预测。速率重映射与稳定的网格场相关,而全局重映射总是伴随着网格细胞放电顶点的坐标偏移。在此重新排列过程中,共定位的内侧内嗅皮质细胞的网格场会协同移动和旋转。与海马体中位置细胞编码的多种特定于环境的表征不同,网格细胞的局部集群因此保持恒定的空间相位结构,从而使动物在遇到的所有环境中都能通过相同的平移机制来表示和更新位置。

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