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Neuroscientific data analysis has classically involved methods for statistical signal and image processing, drawing on linear algebra and stochastic process theory. However, digitized neuroanatomical data sets containing labelled neurons,…

计算几何 · 计算机科学 2018-05-15 Suyi Wang , Xu Li , Partha Mitra , Yusu Wang

Brain networks exhibit remarkable structural properties, including high local clustering, short path lengths, and heavy-tailed weight and degree distributions. While these features are thought to enable efficient information processing with…

生物物理 · 物理学 2026-01-09 Aitor Morales-Gregorio , Anno C. Kurth , Karolína Korvasová

Quantification of brain morphology has become an important cornerstone in understanding brain structure. Measures of cortical morphology such as thickness and surface area are frequently used to compare groups of subjects or characterise…

Building on evidence of structural parallels between brain networks and the cosmic web [1], we apply AI-based geometric analysis to cultured neuronal networks. Isolated neurons self-organize into dendritic lattices shaped by reproducible…

神经元与认知 · 定量生物学 2025-10-14 Wolfgang Kurz , Danny Baranes

This paper proposes a novel topological learning framework that integrates networks of different sizes and topology through persistent homology. Such challenging task is made possible through the introduction of a computationally efficient…

神经元与认知 · 定量生物学 2023-01-30 Tananun Songdechakraiwut , Moo K. Chung

Starting from the morphological-functional assumption of the fractal brain, a mathematical model is given by activating brain non-differentiable dynamics through the determinism-nondeterminism inference of the responsible mechanisms. The…

神经元与认知 · 定量生物学 2015-11-18 Maricel Agop , Alina Gavrilut , Gabriel Crumpei , Mitica Craus , Vlad Birlescu

Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a relatively high resolution. In particular, tractographic…

计算工程、金融与科学 · 计算机科学 2016-09-14 Yu Jin , Joseph F. JaJa , Rong Chen , Edward H. Herskovits

The study of neuronal morphology is important not only for its potential relationship with neuronal dynamics, but also as a means to classify diverse types of cells and compare than among species, organs, and conditions. In the present…

神经元与认知 · 定量生物学 2024-03-11 Alexandre Benatti , Henrique F. de Arruda , Luciano da F. Costa

The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the…

神经元与认知 · 定量生物学 2020-09-23 Danko D. Georgiev , Stefan K. Kolev , Eliahu Cohen , James F. Glazebrook

The formation of neuron networks is a process of fundamental importance for understanding the development of the nervous system and for creating biomimetic devices for tissue engineering and neural repair. The basic process that controls…

细胞行为 · 定量生物学 2022-05-16 Ilya Yurchenko , Matthew Farwell , Donovan D. Brady , Cristian Staii

This paper describes how realistic neuromorphic networks can have their connectivity fully characterized in analytical fashion. By assuming that all neurons have the same shape and are regularly distributed along the two-dimensional…

无序系统与神经网络 · 物理学 2007-05-23 Luciano da Fontoura Costa , Marconi Soares Barbosa

Much information about a graph can be obtained by studying its spanning trees. On the other hand, a graph can be regarded as a 1-dimensional cell complex, raising the question of developing a theory of trees in higher dimension. As observed…

组合数学 · 数学 2015-06-24 Art M. Duval , Caroline J. Klivans , Jeremy L. Martin

Hierarchically modular organization is a canonical network topology that is evolutionarily conserved in the nervous systems of animals. Within the network, neurons form directional connections defined by the growth of their axonal…

神经元与认知 · 定量生物学 2024-04-26 Nobuaki Monma , Hideaki Yamamoto , Naoya Fujiwara , Hakuba Murota , Satoshi Moriya , Ayumi Hirano-Iwata , Shigeo Sato

In developing brain, axons and dendrites are capable of connecting to each other with high precision. Recent advances in imaging have allowed for the monitoring of axonal, dendritic, and synapse dynamics in vivo. It is observed that the…

神经元与认知 · 定量生物学 2008-04-08 Dmitry Tsigankov , Alexei Koulakov

The cerebral cortex is composed of multiple cortical areas that exert a wide variety of brain functions. Although human brain neurons are genetically and areally mosaic, the three-dimensional structural differences between neurons in…

Unlike other tissue types, like epithelial tissue, which consist of cells with a much more homogeneous structure and function, the nervous tissue spans in a complex multilayer environment whose topographical features display a large…

生物物理 · 物理学 2017-05-12 C. Simitzi , A. Ranella , E. Stratakis

Neurons are thought of as the building blocks of excitable brain tissue. However, at the single neuron level, the neuronal membrane, the dendritic arbor and the axonal projections can also be considered an extended active medium. Active…

神经元与认知 · 定量生物学 2013-11-28 Leonardo L. Gollo , Osame Kinouchi , Mauro Copelli

A single axon can generate branches connecting with plenty synaptic targets. Process of branching is very important for making connections in central nervous system. The interstitial branching along primary axon shaft occurs during nervous…

神经元与认知 · 定量生物学 2013-04-25 Y. Suleymanov , F. Gafarov , N. Khusnutdinov

The cerebral cortex displays a bewildering diversity of shapes and sizes across and within species. Despite this diversity, we present a universal multi-scale description of primate cortices. We show that all cortical shapes can be…

It is now generally assumed that the heterogeneity of most networks in nature probably arises via preferential attachment of some sort. However, the origin of various other topological features, such as degree-degree correlations and…

适应与自组织系统 · 物理学 2010-03-05 Samuel Johnson , J. Marro , Joaquin J. Torres