Input rate encoding and gain control in dendrites of neocortical pyramidal neurons.
Input rate encoding and gain control in dendrites of neocortical pyramidal neurons.
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DOI：
10.1016/j.celrep.2022.110382
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发表时间：
2022-02-15
期刊：
影响因子：
8.8
通讯作者：
Spain WJ
中科院分区：
文献类型：
--
作者：
Dembrow NC;Spain WJ
阐明神经元如何编码网络活动对于理解大脑如何处理信息至关重要。新皮质锥体细胞接受兴奋性输入到沿着树突分支分布的棘上。局部树突分支的非线性可以增强对空间聚集和同步输入的反应，但这如何转化为正在进行的活动模式的整合仍不清楚。为了研究自然主义刺激机制下的树突整合，我们使用双光子谷氨酸释放以随机间隔重复激活多个树突棘。在近端树突的两个群体的第5层锥体神经元在小鼠运动皮层，空间限制的同步性是不是一个先决条件的树突增强。根据细胞和分支类型，分支以不同的速率敏感性编码传入输入。因此，沿沿着树枝状分支分布的输入可以募集超线性升压，并且这种非线性的窗口可以提供一种机制，通过该机制树枝状晶体可以优先放大慢频网络振荡。Dembrow和Spain使用沿着新皮层锥体神经元中的树突分支分布的多个棘的重复激活，证明了超线性树突增强取决于沿着树突分支的棘的组合激活率。一个基于速率的模型表明，这种超线性集成提供了放大慢网络振荡。
Elucidating how neurons encode network activity is essential to understanding how the brain processes information. Neocortical pyramidal cells receive excitatory input onto spines distributed along dendritic branches. Local dendritic branch nonlinearities can boost the response to spatially clustered and synchronous input, but how this translates into the integration of patterns of ongoing activity remains unclear. To examine dendritic integration under naturalistic stimulus regimes, we use two-photon glutamate uncaging to repeatedly activate multiple dendritic spines at random intervals. In the proximal dendrites of two populations of layer 5 pyramidal neurons in the mouse motor cortex, spatially restricted synchrony is not a prerequisite for dendritic boosting. Branches encode afferent inputs with distinct rate sensitivities depending upon cell and branch type. Thus, inputs distributed along a dendritic branch can recruit supralinear boosting and the window of this nonlinearity may provide a mechanism by which dendrites can preferentially amplify slow-frequency network oscillations. Using repetitive activation of multiple spines distributed along a dendritic branch in neocortical pyramidal neurons, Dembrow and Spain demonstrate that supralinear dendritic boosting depends upon the combined activation rate of spines along a dendritic branch. A rate-based model suggests that such supralinear integration provides amplification of slow network oscillations.
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影响因子：
16.6
作者：
Fisher, Simon P.;Cui, Nanyi;McKillop, Laura E.;Gemignani, Jessica;Bannerman, David M.;Oliver, Peter L.;Peirson, Stuart N.;Vyazovskiy, Vladyslav V.
通讯作者：
Vyazovskiy, Vladyslav V.
DOI：
10.1126/science.1189664
发表时间：
2010-09-24
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Branco T;Clark BA;Häusser M
通讯作者：
Häusser M
影响因子：
16.2
作者：
Gidon, Albert;Segev, Idan
通讯作者：
Segev, Idan
影响因子：
5.3
作者：
Baker, Arielle;Kalmbach, Brian;Dembrow, Nikolai
通讯作者：
Dembrow, Nikolai
影响因子：
16.2
作者：
Harnett, Mark T.;Xu, Ning-Long;Williams, Stephen R.
通讯作者：
Williams, Stephen R.