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通过实时拉普拉斯变换,啮齿动物内侧前额叶皮层中的调谐细胞对过去和未来事件进行编码。

Ramping cells in the rodent medial prefrontal cortex encode time to past and future events via real Laplace transform.

机构信息

Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215.

出版信息

Proc Natl Acad Sci U S A. 2024 Sep 17;121(38):e2404169121. doi: 10.1073/pnas.2404169121. Epub 2024 Sep 10.

Abstract

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. Henke , , 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.

摘要

在间隔再现任务中,动物必须记住开始间隔的事件,并预测计划反应的时间以终止间隔。因此,间隔再现任务允许研究过去的记忆和对未来的预期。我们分析了啮齿动物内侧前额叶皮层[J. Henke,, e71612 (2021)]在间隔再现任务期间的先前发表的记录,并通过使用分层贝叶斯模型对其时间感受野进行建模,确定了两个细胞群。“过去细胞”组的放电在间隔开始时达到峰值,然后指数衰减回基线。“未来细胞”组的放电呈指数增长,并在间隔结束时计划动作前的瞬间达到峰值。与先前关于大脑中的定时信息对于给定的间隔具有一个或两个时间尺度的假设相反,我们发现过去和未来细胞群体的指数率常数的连续分布有很强的证据。时间的实际拉普拉斯变换预测指数发射具有在整个群体中率常数的连续分布。因此,过去细胞的放电模式可以通过过去事件以来的时间的拉普拉斯变换来识别,而未来细胞的放电模式可以通过直到计划的未来事件的时间的拉普拉斯变换来识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5ed/11420195/ee51f53c41a6/pnas.2404169121fig01.jpg

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