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顶部长度决定了 5 层锥体神经元的计算多样性。

Apical length governs computational diversity of layer 5 pyramidal neurons.

机构信息

The Francis Crick Institute, London, United Kingdom.

University College London, London, United Kingdom.

出版信息

Elife. 2020 May 28;9:e55761. doi: 10.7554/eLife.55761.

Abstract

Anatomical similarity across the neocortex has led to the common assumption that the circuitry is modular and performs stereotyped computations. Layer 5 pyramidal neurons (L5PNs) in particular are thought to be central to cortical computation because of their extensive arborisation and nonlinear dendritic operations. Here, we demonstrate that computations associated with dendritic Ca plateaus in mouse L5PNs vary substantially between the primary and secondary visual cortices. L5PNs in the secondary visual cortex show reduced dendritic excitability and smaller propensity for burst firing. This reduced excitability is correlated with shorter apical dendrites. Using numerical modelling, we uncover a universal principle underlying the influence of apical length on dendritic backpropagation and excitability, based on a Na channel-dependent broadening of backpropagating action potentials. In summary, we provide new insights into the modulation of dendritic excitability by apical dendrite length and show that the operational repertoire of L5PNs is not universal throughout the brain.

摘要

大脑新皮层的解剖相似性导致了一个普遍的假设,即电路是模块化的,并执行刻板的计算。特别是第 5 层锥体神经元 (L5PN) 被认为是皮质计算的核心,因为它们具有广泛的树突分支和非线性树突运算。在这里,我们证明了与小鼠 L5PN 树突 Ca 峰相关的计算在初级和次级视觉皮层之间有很大的差异。次级视觉皮层中的 L5PN 表现出较低的树突兴奋性和较小的爆发发射倾向。这种兴奋性降低与顶树突较短有关。通过数值建模,我们基于 Na 通道依赖性的逆行动作电位展宽,揭示了一个普遍的原则,该原则基于顶树突长度对树突逆行传播和兴奋性的影响。总之,我们为树突兴奋性受顶树突长度的调节提供了新的见解,并表明 L5PN 的操作范围并非在整个大脑中都是通用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc45/7334021/d06e8cf7a0dd/elife-55761-fig1.jpg

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