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The main goal of this study is to propose a mathematical model describing paths of the axon growth cones and differences in the behavior of normal and mutant axons. We introduce a probabilistic model for axon growing, such that each family…

神经元与认知 · 定量生物学 2015-12-09 Elena Zhizhina , Sergey Komech , Xavier Descombes

Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understanding of the mechanism by which neuronal networks evolve…

A formula of grain growth rate, based on a nonlinear capillarity-driven relation, is derived to predict and interpret realistic growth processes in polycrystalline systems. The derived formula reveals how the growth and stagnation of grains…

材料科学 · 物理学 2017-12-12 Jianfeng Hu , Xianhao Wang

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

Cortical surface analysis has gained increased prominence, given its potential implications for neurological and developmental disorders. Traditional vision diffusion models, while effective in generating natural images, present limitations…

图像与视频处理 · 电气工程与系统科学 2024-02-08 Zhenshan Xie , Simon Dahan , Logan Z. J. Williams , M. Jorge Cardoso , Emma C. Robinson

Several works reported increased differentiation of neuronal cells grown on graphene; however, the molecular mechanism driving axon elongation on this material has remained elusive. Here, we study the axonal transport of nerve growth factor…

This work concerns efficient and reliable numerical simulations of the dynamic behaviour of a moving-boundary model for tubulin-driven axonal growth. The model is nonlinear and consists of a coupled set of a partial differential equation…

细胞行为 · 定量生物学 2016-08-03 Stefan Diehl , Erik Henningsson , Anders Heyden

Optimal embedding in the three-dimensional space of exponentially growing squeezed surfaces, like plants leaves, or 2D colonies of exponentially reproducing cells, is considered in the framework of conformal approach. It is shown that the…

软凝聚态物质 · 物理学 2016-11-01 Sergei Nechaev , Kirill Polovnikov

In studies of the brain and the nervous system, extracellular signals - as measured by local field potentials (LFPs) or electroencephalography (EEG) - are of capital importance, as they allow to simultaneously obtain data from multiple…

神经元与认知 · 定量生物学 2019-06-10 Jurgis Pods

In biological evolution complex neural structures grow from a handful of cellular ingredients. As genomes in nature are bounded in size, this complexity is achieved by a growth process where cells communicate locally to decide whether to…

神经与进化计算 · 计算机科学 2024-05-15 Eleni Nisioti , Erwan Plantec , Milton Montero , Joachim Winther Pedersen , Sebastian Risi

Diffusion models have been shown to implicitly generate visual content autoregressively in the frequency domain, where low-frequency components are generated earlier in the denoising process while high-frequency details emerge only in later…

计算机视觉与模式识别 · 计算机科学 2026-05-21 Howard Xiao , Brian Chao , Lior Yariv , Gordon Wetzstein

Living neural networks emerge through a process of growth and self-organization that begins with a single cell and results in a brain, an organized and functional computational device. Artificial neural networks, however, rely on…

神经与进化计算 · 计算机科学 2019-06-05 Guruprasad Raghavan , Matt Thomson

Electrical signaling in the brain plays a vital role to our existence but at the same time, the fundamental mechanism of this propagation is undeciphered. Notable advancements have been made in the numerical modeling supplementing the…

神经元与认知 · 定量生物学 2024-11-11 Rahul Gulati , Shiva Rudraraju

We extend a recently proposed model (Chaudhuri et al., EPL 87, 20003 (2009)) aiming to describe the formation of fascicles of axons during neural development. The growing axons are represented as paths of interacting directed random walkers…

生物物理 · 物理学 2015-03-13 Debasish Chaudhuri , Peter Borowski , Martin Zapotocky

Detailed knowledge of mechanical parameters such as cell elasticity, stiffness of the growth substrate, or traction stresses generated during axonal extensions is essential for understanding the mechanisms that control neuronal growth. Here…

生物物理 · 物理学 2013-04-05 Elise Spedden , James D. White , Elena N. Naumova , David L. Kaplan , Cristian Staii

The dynamics of an initial wave packed affected by random noise is considered in the framework of a comb model. The model is relevant to a diffusion problem in neurons where the transport of ions can be accelerated by an external random…

生物物理 · 物理学 2019-07-26 Alexander Iomin

Axonal growth and guidance at the ventral floor plate is here followed $\textit{in vivo}$ in real time at high resolution by light-sheet microscopy along several hundred micrometers of the zebrafish spinal cord. The recordings show the…

神经元与认知 · 定量生物学 2021-07-13 Søren S. L. Andersen

Myelinated neurons are characterized by the presence of myelin, a multilaminated wrapping around the axons formed by specialized neuroglial cells. Myelin acts as an electrical insulator and therefore, in myelinated neurons, the action…

神经元与认知 · 定量生物学 2020-09-17 Corina S. Drapaca , Sahin Ozdemir , Elizabeth A. Proctor

During embryonic morpho-genesis, a collection of individual neurons turns into a functioning network with unique capabilities. Only recently has this most staggering example of emergent process in the natural world, began to be studied.…

凝聚态物理 · 物理学 2007-05-23 Ronen Segev , Eshel Ben-Jacob

Many cortical areas increase in size considerably during postnatal development, progressively displacing neuronal cell bodies from each other. At present, little is known about how cortical growth affects the development of neuronal…

神经元与认知 · 定量生物学 2011-04-12 Wolfgang Keil , Karl-Friedrich Schmidt , Siegrid Loewel , Matthias Kaschube