自相似性逻辑可能塑造神经系统的组织结构

Q3 Neuroscience Advances in neurobiology Pub Date : 2024-01-01 DOI:10.1007/978-3-031-47606-8_10
Diego Guidolin, Cinzia Tortorella, Raffaele De Caro, Luigi F Agnati
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引用次数: 0

摘要

从形态学的角度来看,神经系统在从单细胞到细胞网络的不同观察层次上都呈现出分形、自相似的几何特征。从功能角度看,神经系统的特点是分层组织,不同微型的自相似结构(网络)相互嵌套。特别是神经元网络,神经元通过分子网络相互连接,形成神经元系统,而神经元的运行则得益于其分子网络,这些分子网络主要由蛋白质组成,通过蛋白质与蛋白质之间的相互作用,这些蛋白质可以组装成多聚体复合物,作为微型设备工作。在此基础上,人们提出了 "自相似逻辑 "一词,用来描述一种嵌套组织,在这种组织中,各个层次都使用几乎相同的规则(逻辑)来执行操作。自相似性和自相似性逻辑似乎都与生物物理证据密切相关,证明神经系统是一种模式形成系统,可以灵活地从一种连贯状态切换到另一种连贯状态。因此,它们可以代表描述神经系统复杂性及其协调、整体行为的关键概念。
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A Self-Similarity Logic May Shape the Organization of the Nervous System.

From the morphological point of view, the nervous system exhibits a fractal, self-similar geometry at various levels of observations, from single cells up to cell networks. From the functional point of view, it is characterized by a hierarchical organization in which self-similar structures (networks) of different miniaturizations are nested within each other. In particular, neuronal networks, interconnected to form neuronal systems, are formed by neurons, which operate thanks to their molecular networks, mainly having proteins as components that via protein-protein interactions can be assembled in multimeric complexes working as micro-devices. On this basis, the term "self-similarity logic" was introduced to describe a nested organization where, at the various levels, almost the same rules (logic) to perform operations are used. Self-similarity and self-similarity logic both appear to be intimately linked to the biophysical evidence for the nervous system being a pattern-forming system that can flexibly switch from one coherent state to another. Thus, they can represent the key concepts to describe its complexity and its concerted, holistic behavior.

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来源期刊
Advances in neurobiology
Advances in neurobiology Neuroscience-Neurology
CiteScore
2.80
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期刊最新文献
A Self-Similarity Logic May Shape the Organization of the Nervous System. Advances in Understanding Fractals in Affective and Anxiety Disorders. Analyzing Eye Paths Using Fractals. Box-Counting Fractal Analysis: A Primer for the Clinician. Clinical Sensitivity of Fractal Neurodynamics.
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