Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform.
Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform.
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啮齿动物 mPFC 中的斜坡细胞通过真正的拉普拉斯变换对过去和未来事件的时间进行编码。
DOI：
10.1101/2024.02.13.580170
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Howard,MarcW
中科院分区：
文献类型：
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作者：
Cao,Rui;Bright,IanM;Howard,MarcW
在间隔繁殖任务中，动物必须记住间隔开始时的事件，并预测结束间隔的计划反应的时间。因此，间隔复制任务允许研究对过去的记忆和对未来的预期。我们分析了先前发表的啮齿动物内侧前额叶皮层的记录[J]。Henkeet al.,eLife10, e71612(2021)]在间隔繁殖任务中，并通过使用分层贝叶斯模型建模它们的时间感受野来识别两个细胞组。“过去细胞”组的放电在间隔开始时达到峰值，然后呈指数级放松回到基线。“未来细胞”组的放电呈指数增长，并在间隔结束时计划行动之前达到峰值。与先前的假设相反，大脑中的时间信息在给定的间隔内有一个或两个时间尺度，我们发现了强有力的证据，证明过去和未来细胞群的指数速率常数具有连续分布。时间的真实拉普拉斯变换以速率常数在总体上的连续分布来预测指数发射。因此，过去细胞的放电模式可以用过去事件以来的时间拉普拉斯变换来识别，而未来细胞的放电模式可以用计划的未来事件之前的时间拉普拉斯变换来识别。
In interval reproduction tasks, animals must remember the event starting the interval and anticipate the time of the planned response to terminate the interval. The interval reproduction task thus allows for studying both memory for the past and anticipation of the future. We analyzed previously published recordings from the rodent medial prefrontal cortex [J. Henkeet al.,eLife10, e71612 (2021)] during an interval reproduction task and identified two cell groups by modeling their temporal receptive fields using hierarchical Bayesian models. The firing in the “past cells” group peaked at the start of the interval and relaxed exponentially back to baseline. The firing in the “future cells” group increased exponentially and peaked right before the planned action at the end of the interval. Contrary to the previous assumption that timing information in the brain has one or two time scales for a given interval, we found strong evidence for a continuous distribution of the exponential rate constants for both past and future cell populations. The real Laplace transformation of time predicts exponential firing with a continuous distribution of rate constants across the population. Therefore, the firing pattern of the past cells can be identified with the Laplace transform of time since the past event while the firing pattern of the future cells can be identified with the Laplace transform of time until the planned future event.