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亚稳定大脑的拓扑动力学。

Topodynamics of metastable brains.

机构信息

Center for Nonlinear Science, University of North Texas, 1155 Union Circle, #311427, Denton, TX 76203-5017, USA.

Department of Electrical and Computer Engineering, University of Manitoba, 75A Chancellor's Circle Winnipeg, MB R3T 5V6 Canada; Department of Mathematics, Adıyaman University, 02040 Adıyaman, Turkey.

出版信息

Phys Life Rev. 2017 Jul;21:1-20. doi: 10.1016/j.plrev.2017.03.001. Epub 2017 Mar 23.

Abstract

The brain displays both the anatomical features of a vast amount of interconnected topological mappings as well as the functional features of a nonlinear, metastable system at the edge of chaos, equipped with a phase space where mental random walks tend towards lower energetic basins. Nevertheless, with the exception of some advanced neuro-anatomic descriptions and present-day connectomic research, very few studies have been addressing the topological path of a brain embedded or embodied in its external and internal environment. Herein, by using new formal tools derived from algebraic topology, we provide an account of the metastable brain, based on the neuro-scientific model of Operational Architectonics of brain-mind functioning. We introduce a "topodynamic" description that shows how the relationships among the countless intertwined spatio-temporal levels of brain functioning can be assessed in terms of projections and mappings that take place on abstract structures, equipped with different dimensions, curvatures and energetic constraints. Such a topodynamical approach, apart from providing a biologically plausible model of brain function that can be operationalized, is also able to tackle the issue of a long-standing dichotomy: it throws indeed a bridge between the subjective, immediate datum of the naïve complex of sensations and mentations and the objective, quantitative, data extracted from experimental neuro-scientific procedures. Importantly, it opens the door to a series of new predictions and future directions of advancement for neuroscientific research.

摘要

大脑既具有大量相互连接的拓扑映射的解剖学特征,也具有处于混沌边缘的非线性、亚稳态系统的功能特征,其配备的相空间中,心理随机游走往往倾向于能量较低的盆地。然而,除了一些先进的神经解剖学描述和当今的连接组学研究外,很少有研究涉及嵌入或体现于其外部和内部环境中的大脑的拓扑路径。在此,我们使用源自代数拓扑的新形式工具,根据脑-心智功能操作建筑学的神经科学模型,提供对亚稳态大脑的描述。我们引入了一种“拓扑动力”描述,展示了如何根据在配备不同维度、曲率和能量约束的抽象结构上发生的投影和映射,评估大脑功能无数相互交织的时空层次之间的关系。这种拓扑动力学方法不仅提供了一种可操作的、具有生物学合理性的大脑功能模型,而且能够解决长期存在的二分法问题:它确实在朴素感觉和思维复合体的主观、即时数据与从实验神经科学程序中提取的客观、定量数据之间架起了一座桥梁。重要的是,它为神经科学研究开辟了一系列新的预测和未来发展方向。

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