The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied in recent decades. Yet, the resulting knowledge remains disparate and difficult to reconcile. Here, we present a data‐driven approach to integrate the current state‐of‐the‐art knowledge on the synaptic anatomy and physiology of rodent hippocampal CA1, including axo‐dendritic innervation patterns, number of synapses per connection, quantal conductances, neurotransmitter release probability, and short‐term plasticity into a single coherent resource. First, we undertook an extensive literature review of paired recordings of hippocampal neurons and compiled experimental data on their synaptic anatomy and physiology. The data collected in this manner is sparse and inhomogeneous due to the diversity of experimental techniques used by different groups, which necessitates the need for an integrative framework to unify these data. To this end, we extended a previously developed workflow for the neocortex to constrain a unifying in silico reconstruction of the synaptic physiology of CA1 connections. Our work identifies gaps in the existing knowledge and provides a complementary resource toward a more complete quantification of synaptic anatomy and physiology in the rodent hippocampal CA1 region.

中文翻译：

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数据驱动的海马 CA1 突触生理学整合。

近几十年来，啮齿动物海马 CA1 中单突触连接的解剖学和生理学得到了广泛的研究。然而，由此产生的知识仍然是不同的，难以调和。在这里，我们提出了一种数据驱动的方法来整合当前最先进的啮齿动物海马 CA1 突触解剖学和生理学知识，包括轴突神经支配模式、每个连接的突触数量、量子电导、神经递质释放概率和短期可塑性成为一个单一的连贯资源。首先，我们对海马神经元的配对记录进行了广泛的文献回顾，并汇编了有关其突触解剖结构和生理学的实验数据。由于不同群体使用的实验技术的多样性，以这种方式收集的数据是稀疏和不均匀的，这需要一个综合框架来统一这些数据。为此，我们扩展了先前为新皮层开发的工作流程，以限制统一的CA1 连接突触生理学的计算机模拟重建。我们的工作确定了现有知识的差距，并为更完整地量化啮齿动物海马 CA1 区域的突触解剖学和生理学提供了补充资源。