Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting.
Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting.
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DOI：
10.1371/journal.pcbi.1004090
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发表时间：
2015-03
影响因子：
4.3
通讯作者：
Koch C
中科院分区：
文献类型：
--
作者：
Shai AS;Anastassiou CA;Larkum ME;Koch C
L5锥体神经元是唯一具有到达所有六层皮质的树突的新皮质细胞类型，使其成为皮质柱中的主要整合者之一。根据L5锥体神经元的生理学，小鼠初级视觉皮层（V1）的计算性质和模式是什么？首先，我们用膜片钳记录实验建立小鼠V1的L5锥体神经元树突的活性特性。使用一个详细的多房室模型，我们表明，这种生理设置是非常适合的一致检测之间的基础和顶端簇输入通过控制尖峰输出的频率。我们进一步展示了如何直接抑制树突中的钙通道调制这样的巧合检测。要建立单细胞计算，这种生物物理学支持，我们表明，频率调制的簇输入和（模拟）钙通道阻滞功能的组合体输出作为一个复合S形函数。最后，我们探讨如何计算提供了一种机制，树突尖峰有助于在锥体神经元的方向调谐。大脑中的神经元具有复杂的树突状形态，拥有各种非线性通道，这些通道让位于单细胞计算。在这项研究中，我们进行膜片钳记录在顶树突建立非线性通道的空间分布和信号，它们支持的树突的第5层锥体神经元的小鼠初级视觉皮层。使用这些数据，我们创建了一个详细的单细胞模型，并模拟突触输入。然后，我们使用一个简单的抽象模型总结了模拟结果，该模型最终描述了计算层5锥体神经元对突触输入的执行。我们发现，这种计算是一种形式的非线性频率调制的树突尖峰依赖的方式工作。最后，我们展示了这种计算如何允许树突棘波有助于视觉皮层锥体神经元的方向调谐。
L5 pyramidal neurons are the only neocortical cell type with dendrites reaching all six layers of cortex, casting them as one of the main integrators in the cortical column. What is the nature and mode of computation performed in mouse primary visual cortex (V1) given the physiology of L5 pyramidal neurons? First, we experimentally establish active properties of the dendrites of L5 pyramidal neurons of mouse V1 using patch-clamp recordings. Using a detailed multi-compartmental model, we show this physiological setup to be well suited for coincidence detection between basal and apical tuft inputs by controlling the frequency of spike output. We further show how direct inhibition of calcium channels in the dendrites modulates such coincidence detection. To establish the singe-cell computation that this biophysics supports, we show that the combination of frequency-modulation of somatic output by tuft input and (simulated) calcium-channel blockage functionally acts as a composite sigmoidal function. Finally, we explore how this computation provides a mechanism whereby dendritic spiking contributes to orientation tuning in pyramidal neurons. Neurons in the brain have elaborate dendritic morphologies, hosting a variety of nonlinear channels that give way to single cell computation. In this study, we perform patch clamp recordings in the apical dendrites to establish the spatial distribution of nonlinear channels and the signals they support in the dendrites of layer 5 pyramidal neurons of the mouse primary visual cortex. Using this data, we create a detailed single cell model and simulate synaptic input. We then summarize the results of the simulations using a simple abstracted model, that ultimately describes the computation layer 5 pyramidal neurons perform on synaptic input. We find that this computation is a form of nonlinear frequency-modulation that works in a dendritic-spike dependent manner. Finally, we show how this computation allows dendritic spikes to contribute to the orientation tuning of pyramidal neurons in the visual cortex.
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影响因子：
64.8
作者：
Lee, Seung-Hee;Kwan, Alex C.;Zhang, Siyu;Phoumthipphavong, Victoria;Flannery, John G.;Masmanidis, Sotiris C.;Taniguchi, Hiroki;Huang, Z. Josh;Zhang, Feng;Boyden, Edward S.;Deisseroth, Karl;Dan, Yang
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影响因子：
64.8
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Reid, R. Clay
影响因子：
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通讯作者：
Van Essen, David C.
影响因子：
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通讯作者：
Antic, Srdjan D.