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首页> 外文期刊>The European Journal of Neuroscience >Temporally structured replay of neural activity in a model of entorhinal cortex, hippocampus and postsubiculum.
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Temporally structured replay of neural activity in a model of entorhinal cortex, hippocampus and postsubiculum.

机译：内嗅皮层，海马和后柱状模型中神经活动的临时结构性重播。

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摘要

The spiking activity of hippocampal neurons during rapid eye movement (REM) sleep exhibits temporally structured replay of spiking occurring during previously experienced trajectories. Here, temporally structured replay of place cell activity during REM sleep is modeled in a large-scale network simulation of grid cells, place cells and head direction cells. During simulated waking behavior, the movement of the simulated rat drives activity of a population of head direction cells that updates the activity of a population of entorhinal grid cells. The population of grid cells drives the activity of place cells coding individual locations. Associations between location and movement direction are encoded by modification of excitatory synaptic connections from place cells to speed modulated head direction cells. During simulated REM sleep, the population of place cells coding an experienced location activates the head direction cells coding the associated movement direction. Spiking of head direction cells then causes frequency shifts within the population of entorhinal grid cells to update a phase representation of location. Spiking grid cells then activate new place cells that drive new head direction activity. In contrast to models that perform temporally compressed sequence retrieval similar to sharp wave activity, this model can simulate data on temporally structured replay of hippocampal place cell activity during REM sleep at time scales similar to those observed during waking. These mechanisms could be important for episodic memory of trajectories.
机译：快速眼动（REM）睡眠期间海马神经元的突峰活动显示出在先前经历的轨迹期间发生的突峰的时间结构性重播。在这里，REM睡眠期间位置细胞活动的时间结构回放是在网格单元，位置单元和头部方向单元的大规模网络模拟中建模的。在模拟的清醒行为期间，模拟大鼠的运动驱动了头部方向细胞群的活动，从而更新了内嗅网格细胞群的活动。网格单元的数量驱动编码单个位置的位置单元的活动。位置和运动方向之间的关联通过修改从位置细胞到速度调制的头部方向细胞的兴奋性突触连接进行编码。在模拟的REM睡眠过程中，编码有经验的位置的位置细胞群体激活了编码相关运动方向的头部方向细胞。头部方向细胞的尖峰然后导致内嗅网格细胞群体内的频率偏移，以更新位置的相位表示。尖刺网格单元然后激活新的位置单元，以驱动新的头部方向活动。与执行类似于锐波活动的时间压缩序列检索的模型相反，该模型可以模拟与醒来时观察到的时间尺度有关的REM睡眠期间海马地方细胞活动的时间结构重放数据。这些机制对于轨迹的情景记忆可能很重要。

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