Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model
Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model
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DOI：
10.1162/neco_a_00840
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发表时间：
2016-06-01
影响因子：
2.9
通讯作者：
Dabaghian，Y.
中科院分区：
文献类型：
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作者：
Dabaghian，Y.
大鼠海马体中的位置细胞在创造动物对世界的内部表征中起着关键作用。在主动导航过程中，这些细胞只在离散的位置发出尖峰信号，共同编码环境地图。电生理学记录显示，动物在睡眠和清醒状态下都可以在精神上重新访问这张地图，重新激活在探索过程中激活的位置细胞，其顺序与它们最初激活的顺序相同。虽然在主动导航过程中位置细胞活动的一致性可以说是由感觉和本体感受输入来执行的，但在自发重放过程中如何保持空间的一致性表示仍然不清楚。我们提出了一个模型，可以解释这种现象，并建议，一个空间上一致的重放需要对海马网络，影响其突触结构和统计的突触连接强度的一些约束。
Place cells in the rat hippocampus play a key role in creating the animal’s internal representation of the world. During active navigation, these cells spike only in discrete locations, together encoding a map of the environment. Electrophysiological recordings have shown that the animal can revisit this map mentally during both sleep and awake states, reactivating the place cells that fired during its exploration in the same sequence in which they were originally activated. Although consistency of place cell activity during active navigation is arguably enforced by sensory and proprioceptive inputs, it remains unclear how a consistent representation of space can be maintained during spontaneous replay. We propose a model that can account for this phenomenon and suggest that a spatially consistent replay requires a number of constraints on the hippocampal network that affect its synaptic architecture and the statistics of synaptic connection strengths.