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作为时空信息群体模板的内源性重复海马序列

Internally Recurring Hippocampal Sequences as a Population Template of Spatiotemporal Information.

作者信息

Villette Vincent, Malvache Arnaud, Tressard Thomas, Dupuy Nathalie, Cossart Rosa

机构信息

Institut National de la Santé et de la Recherche Médicale Unité 901, 13009 Marseille, France; Aix-Marseille Université, Unité Mixte de Recherche S901, 13009 Marseille, France; Institut de Neurobiologie de la Méditerranée, 13009 Marseille, France.

Institut National de la Santé et de la Recherche Médicale Unité 901, 13009 Marseille, France; Aix-Marseille Université, Unité Mixte de Recherche S901, 13009 Marseille, France; Institut de Neurobiologie de la Méditerranée, 13009 Marseille, France.

出版信息

Neuron. 2015 Oct 21;88(2):357-66. doi: 10.1016/j.neuron.2015.09.052.

Abstract

The hippocampus is essential for spatiotemporal cognition. Sequences of neuronal activation provide a substrate for this fundamental function. At the behavioral timescale, these sequences have been shown to occur either in the presence of successive external landmarks or through internal mechanisms within an episodic memory task. In both cases, activity is externally constrained by the organization of the task and by the size of the environment explored. Therefore, it remains unknown whether hippocampal activity can self-organize into a default mode in the absence of any external memory demand or spatiotemporal boundary. Here we show that, in the presence of self-motion cues, a population code integrating distance naturally emerges in the hippocampus in the form of recurring sequences. These internal dynamics clamp spontaneous travel since run distance distributes into integer multiples of the span of these sequences. These sequences may thus guide navigation when external landmarks are reduced.

摘要

海马体对于时空认知至关重要。神经元激活序列为这一基本功能提供了基础。在行为时间尺度上,这些序列已被证明要么在连续外部地标存在的情况下出现,要么通过情景记忆任务中的内部机制出现。在这两种情况下,活动都受到任务组织和所探索环境大小的外部限制。因此,在没有任何外部记忆需求或时空边界的情况下,海马体活动是否能自组织成默认模式仍不清楚。在这里我们表明,在存在自我运动线索的情况下,一种整合距离的群体编码以重复序列的形式自然地出现在海马体中。这些内部动态限制了自发移动,因为奔跑距离分布为这些序列跨度的整数倍。因此,当外部地标减少时,这些序列可能会引导导航。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80d/4622933/4d0cacceab7b/gr1.jpg

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