Institute of Computational Neuroscience, University Medical Center Eppendorf, Hamburg University, Hamburg, Germany.
Department of Health Sciences, Boston University, Boston, MA, USA.
Philos Trans R Soc Lond B Biol Sci. 2020 Apr 13;375(1796):20190319. doi: 10.1098/rstb.2019.0319. Epub 2020 Feb 24.
Concepts shape the interpretation of facts. One of the most popular concepts in systems neuroscience is that of 'hierarchy'. However, this concept has been interpreted in many different ways, which are not well aligned. This observation suggests that the concept is ill defined. Using the example of the organization of the primate visual cortical system, we explore several contexts in which 'hierarchy' is currently used in the description of brain networks. We distinguish at least four different uses, specifically, 'hierarchy' as a topological sequence of projections, as a gradient of features, as a progression of scales, or as a sorting of laminar projection patterns. We discuss the interpretation and functional implications of the different notions of 'hierarchy' in these contexts and suggest that more specific terms than 'hierarchy' should be used for a deeper understanding of the different dimensions of the organization of brain networks. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights and philosophical foundations'.
概念塑造了对事实的解释。系统神经科学中最流行的概念之一是“层级”。然而,这个概念已经以许多不同的方式被解释,这些方式并没有很好地协调。这一观察表明该概念的定义不明确。我们以灵长类视觉皮层系统的组织为例,探讨了目前在描述大脑网络时“层级”在几个不同背景下的使用情况。我们至少区分了四种不同的用法,即“层级”作为投影的拓扑序列、特征的梯度、尺度的递进或层状投影模式的分类。我们在这些上下文中讨论了不同的“层级”概念的解释和功能意义,并建议在更深入地理解大脑网络组织的不同维度时,应该使用比“层级”更具体的术语。本文是主题为“统一生物网络的基本概念:生物学见解和哲学基础”的一部分。