Data-driven integration of hippocampal CA1 synaptic physiology in silico.
Data-driven integration of hippocampal CA1 synaptic physiology in silico.
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DOI：
10.1002/hipo.23220
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发表时间：
2020-11
期刊：
影响因子：
3.5
通讯作者：
Ramaswamy S
中科院分区：
文献类型：
--
作者：
Ecker A;Romani A;Sáray S;Káli S;Migliore M;Falck J;Lange S;Mercer A;Thomson AM;Muller E;Reimann MW;Ramaswamy S
啮齿动物海马CA1中的单突触连接的解剖学和生理学在近几十年中已经广泛研究。关于啮齿动物海马CA1的合成解剖结构和生理学的艺术知识，包括轴突树突神经支配模式，每个连接的突触数量，数量电导，数量电导，神经递质释放概率和短期可塑性首先，我们对海马神经元的配对记录进行了广泛的文献综述，并汇编了有关其合成解剖学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，这对于将这些数据统一的综合框架所必需。扩展了一个先前开发的工作流程，以限制CA1连接的突触生理学的硅胶重建中的统一，我们的工作确定了现有知识中的差距CA1区域。
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.
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单个海马GABA能突触的突触后反应的释放概率依赖性尺度。
DOI：
10.1523/jneurosci.3106-06.2006
发表时间：
2006-11-29
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Biró AA;Holderith NB;Nusser Z
通讯作者：
Nusser Z
影响因子：
16.6
作者：
Espinoza C;Guzman SJ;Zhang X;Jonas P
通讯作者：
Jonas P
影响因子：
5.3
作者：
Eltes, Timea;Kirizs, Tekla;Holderith, Noemi
通讯作者：
Holderith, Noemi
影响因子：
7.7
作者：
Bezaire, Marianne J.;Raikov, Ivan;Soltesz, Ivan
通讯作者：
Soltesz, Ivan
影响因子：
3.7
作者：
Barros-Zulaica, Natali;Rahmon, John;Ramaswamy, Srikanth
通讯作者：
Ramaswamy, Srikanth