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有序体验的网格代码。

The grid code for ordered experience.

机构信息

Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, USA.

Washington National Primate Research Center, Seattle, WA, USA.

出版信息

Nat Rev Neurosci. 2021 Oct;22(10):637-649. doi: 10.1038/s41583-021-00499-9. Epub 2021 Aug 27.

Abstract

Entorhinal cortical grid cells fire in a periodic pattern that tiles space, which is suggestive of a spatial coordinate system. However, irregularities in the grid pattern as well as responses of grid cells in contexts other than spatial navigation have presented a challenge to existing models of entorhinal function. In this Perspective, we propose that hippocampal input provides a key informative drive to the grid network in both spatial and non-spatial circumstances, particularly around salient events. We build on previous models in which neural activity propagates through the entorhinal-hippocampal network in time. This temporal contiguity in network activity points to temporal order as a necessary characteristic of representations generated by the hippocampal formation. We advocate that interactions in the entorhinal-hippocampal loop build a topological representation that is rooted in the temporal order of experience. In this way, the structure of grid cell firing supports a learned topology rather than a rigid coordinate frame that is bound to measurements of the physical world.

摘要

内嗅皮层栅格细胞以周期性模式发射,这种模式覆盖了整个空间,这表明存在一个空间坐标系。然而,栅格模式的不规则性以及栅格细胞在空间导航以外的环境中的反应,给内嗅皮层功能的现有模型带来了挑战。在这个观点中,我们提出,海马体的输入为网格网络提供了一个关键的信息驱动,无论是在空间还是非空间环境中,特别是在显著事件周围。我们基于以前的模型,其中神经活动在时间上通过内嗅皮层-海马体网络传播。网络活动中的这种时间连续性表明,时间顺序是海马体结构产生的表示的必要特征。我们主张,内嗅皮层-海马体环路中的相互作用构建了一种拓扑表示,这种表示根植于经验的时间顺序。通过这种方式,栅格细胞发射的结构支持一种学习到的拓扑结构,而不是与物理世界测量绑定的刚性坐标框架。

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A unified theory for the computational and mechanistic origins of grid cells.网格细胞计算与机制起源的统一理论。
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Learning Structures: Predictive Representations, Replay, and Generalization.学习结构:预测性表征、回放与泛化。
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Phase precession in the human hippocampus and entorhinal cortex.人类海马体和内嗅皮层的相位进动。
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Flexible modulation of sequence generation in the entorhinal-hippocampal system.在海马系统中灵活调节序列生成。
Nat Neurosci. 2021 Jun;24(6):851-862. doi: 10.1038/s41593-021-00831-7. Epub 2021 Apr 12.
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Concept formation as a computational cognitive process.概念形成作为一种计算认知过程。
Curr Opin Behav Sci. 2021 Apr;38:83-89. doi: 10.1016/j.cobeha.2020.12.005. Epub 2021 Jan 8.
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Scalable representation of time in the hippocampus.海马体中时间的可扩展表征。
Sci Adv. 2021 Feb 3;7(6). doi: 10.1126/sciadv.abd7013. Print 2021 Feb.

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