Institute of Neuroinformatics, UZH/ETH, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Brain Struct Funct. 2017 Nov;222(8):3407-3430. doi: 10.1007/s00429-017-1410-6. Epub 2017 Apr 7.
Pyramidal cells in the superficial layers of neocortex of higher mammals form a lateral network of axon clusters known as the 'daisy' network. The role of these axon clusters remains speculative and we still lack a comprehensive quantitative description of the single neurons forming the daisy or their heterogeneity. We filled intracellularly 50 superficial layer pyramidal neurons in the cat primary visual cortex and reconstructed the axonal tree and their synaptic boutons in 3D. Individual bouton clusters were identified using an objective mean-shift algorithm. By parameterizing the morphology of these 50 axonal trees and the 217 bouton clusters they formed, we were able to extract one set of relatively constant parameters and another set of variable parameters. Both sets combined allowed us to outline a comprehensive biological blueprint of superficial layer pyramidal neurons. Overall, our detailed analysis supports the hypothesis that pyramidal neurons use their lateral clusters to combine differential contextual cues, required for context-dependent processing of natural scenes.
高等哺乳动物新皮层浅层的锥体神经元形成了一个被称为“雏菊”网络的横向轴突簇网络。这些轴突簇的作用仍然是推测性的,我们仍然缺乏对形成雏菊的单个神经元或其异质性的全面定量描述。我们在猫的初级视觉皮层中对 50 个浅层锥体神经元进行了细胞内填充,并在 3D 中重建了它们的轴突树和突触末梢。使用客观的均值移动算法来识别单个末梢簇。通过参数化这 50 个轴突树和它们形成的 217 个末梢簇的形态,我们能够提取一组相对恒定的参数和另一组可变参数。这两组参数结合起来,使我们能够勾勒出浅层锥体神经元的全面生物学蓝图。总的来说,我们的详细分析支持了这样一种假设,即锥体神经元利用它们的侧枝簇来组合不同的上下文线索,这是处理自然场景中上下文相关信息所必需的。