Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
Neuron. 2019 Jan 2;101(1):76-90.e4. doi: 10.1016/j.neuron.2018.10.048. Epub 2018 Nov 21.
The structure of the neocortex varies across the neocortical mantle to govern the physical size of principal neurons. What impact such anatomical variation has on the computational operations of principal neurons remains unknown. Here, we demonstrate within a functionally defined area that neocortical thickness governs the anatomical, electrophysiological, and computational properties of the principal output neurons of the neocortex. We find that neocortical thickness and the size of layer 5B pyramidal neurons changes as a gradient across the rostro-caudal axis of the rat primary visual cortex. Simultaneous somato-dendritic whole-cell recordings and compartmental modeling revealed that the electrical architecture of principal neurons was not preserved; rather, primary visual cortex site-dependent differences in intracellular resistivity accentuated a gradient of the electrical behavior of layer 5B pyramidal neurons to influence the emergence of active dendritic computations. Our findings therefore reveal an exquisite relationship between neocortical structure and neuronal computation.
大脑皮层的结构在皮层 mantle 中变化，以控制主要神经元的物理大小。这种解剖结构的变化对主要神经元的计算操作有什么影响尚不清楚。在这里，我们在一个功能定义的区域内证明，大脑皮层的厚度决定了大脑皮层主要输出神经元的解剖、电生理和计算特性。我们发现，在大鼠初级视觉皮层的前后轴上，大脑皮层的厚度和 5B 层锥体神经元的大小呈梯度变化。同时进行的体树突全细胞记录和分区建模表明，主要神经元的电结构没有得到保留；相反，初级视觉皮层的细胞内电阻的位置依赖性差异突出了 5B 层锥体神经元的电行为的梯度，以影响主动树突计算的出现。因此，我们的研究结果揭示了大脑皮层结构和神经元计算之间的一种精致关系。
