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A hippocampal network for spatial coding during immobility and sleep

机译:在运动和睡眠期间用于空间编码的海马网络

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摘要

How does an animal know where it is when it stops moving? Hippocampal place cells fire at discrete locations as subjects traverse space, thereby providing an explicit neural code for current location during locomotion. In contrast, during awake immobility, the hippocampus is thought to be dominated by neural firing representing past and possible future experience. The question of whether and how the hippocampus constructs a representation of current location in the absence of locomotion has stood unresolved. Here we report that a distinct population of hippocampal neurons, located in the CA2 subregion, signals current location during immobility, and furthermore does so in association with a previously unidentified hippocampus-wide network pattern. In addition, signaling of location persists into brief periods of desynchronization prevalent in slow-wave sleep. The hippocampus thus generates a distinct representation of current location during immobility, pointing to mnemonic processing specific to experience occurring in the absence of locomotion.
机译:动物停止运动时如何知道它在哪里?当对象穿越空间时,海马位置细胞会在不连续的位置处发射,从而为运动过程中的当前位置提供了明确的神经代码。相反,在清醒的固定状态下,海马被认为是代表过去和未来可能经历的神经放电所主导。在没有运动的情况下,海马是否以及如何构建当前位置的表示的问题尚未解决。在这里,我们报告说,位于CA2子区域的海马神经元的独特种群发出信号,表明当前的固定状态,并且与先前未识别的海马范围的网络模式相关联。另外,位置的信号持续存在于慢波睡眠中普遍存在的短暂的失步时期。因此,海马在不动时产生当前位置的独特表示,这表明记忆运动是针对缺乏运动的情况下特有的。

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