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Despite simplicity, the synchronous cellular automaton [D.A. Young, Math. Biosci. 72, 51 (1984)] enables reconstructing basic features of patterns of skin. Our extended model allows studying the formatting of patterns and their temporal…

细胞行为 · 定量生物学 2018-07-12 R. Piasecki , W. Olchawa , K. Smaga

We define a cellular automaton where a resting cell excites if number of its excited neighbours belong to some specified interval and boundaries of the interval change depending on ratio of excited and refractory neighbours in the cell's…

元胞自动机与格子气 · 物理学 2013-02-27 Andrew Adamatzky

Modeling the ability of multicellular organisms to build and maintain their bodies through local interactions between individual cells (morphogenesis) is a long-standing challenge of developmental biology. Recently, the Neural Cellular…

神经与进化计算 · 计算机科学 2022-06-02 Alexander Mordvintsev , Ettore Randazzo , Craig Fouts

Regulation of cell proliferation is a crucial aspect of tissue development and homeostasis and plays a major role in morphogenesis, wound healing, and tumor invasion. A phenomenon of such regulation is contact inhibition, which describes…

细胞行为 · 定量生物学 2024-07-01 Steffen Lange , Jannik Schmied , Paul Willam , Anja Voss-Böhme

Based on recent experiments with time-lapse fluorescent imaging, we propose a cellular automaton model for the dynamics of vascular endothelial cells (ECs) in angiogenic morphogenesis. The model successfully reproduces cell mixing behavior,…

元胞自动机与格子气 · 物理学 2015-07-22 Keisuke Matsuya , Hiroki Kurihara , Tetsuji Tokihiro

Commonly studied cellular automata are memoryless and have fixed topology of connections between cells. However by allowing updates of links and short-term memory in cells we may potentially discover novel complex regimes of spatio-temporal…

元胞自动机与格子气 · 物理学 2012-12-13 Ramon Alonso-Sanz , Andrew Adamatzky

We consider a probabilistic cellular automaton to analyze the stochastic dynamics of a predator-prey system. The local rules are Markovian and are based in the Lotka-Volterra model. The individuals of each species reside on the sites of a…

种群与进化 · 定量生物学 2016-08-14 Kelly C. de Carvalho , Tânia Tomé

Neural Cellular Automata (NCA) models have shown remarkable capacity for pattern formation and complex global behaviors stemming from local coordination. However, in the original implementation of NCA, cells are incapable of adjusting their…

神经与进化计算 · 计算机科学 2023-05-18 Ettore Randazzo , Alexander Mordvintsev , Craig Fouts

Traditional top-down robotic design often lacks the adaptability needed to handle real-world complexities, prompting the need for more flexible approaches. Therefore, this study introduces a novel cellular plasticity model tailored for…

机器人学 · 计算机科学 2024-08-13 Trevor R. Smith , Thomas J. Smith , Nicholas S. Szczecinski , Sergiy Yakovenko , Yu Gu

A cellular automaton model is presented for random walkers with biologically motivated interactions favoring local alignment and leading to collective motion or swarming behavior. The degree of alignment is controlled by a sensitivity…

生物物理 · 物理学 2009-10-30 H. J. Bussemaker , A. Deutsch , E. Geigant

A low artificial anisotropy cellular automaton (CA) model is developed for the simulation of microstructure evolution in directional solidification. The CA model's capture rule was modified by a limited neighbor solid fraction (LNSF)…

材料科学 · 物理学 2014-10-16 Lei Wei , Xin Lin , Meng Wang , Weidong Huang

We present a one dimensional reversible block cellular automaton, where the time evolution is dictated by a period 3 cycle of update rules. At each time step a subset of the cells is updated using a four site rule with two control bits and…

统计力学 · 物理学 2021-09-22 Balázs Pozsgay

In this paper we use the cellular automaton (CA) approach to model one-dimensional binary diffusion in solids. Employing a very simple state change rule we define an asynchronous CA model and take its continuum limit to obtain the governing…

计算物理 · 物理学 2019-11-20 Helena Ribera , Brian Wetton , Timothy Myers

One of the most important problems in contemporary science, and especially in biology, is to reveal mechanisms of pattern formation. On the level of biological tissues, patterns form due to interactions between cells. These interactions can…

元胞自动机与格子气 · 物理学 2020-07-23 Manan'Iarivo Rasolonjanahary , Bakhtier Vasiev

This study focuses on an extended model of a standard cellular automaton (CA) that includes an extra index consisting of a radius that defines a perception area for each cell in addition to the radius defined by the CA rule. Extended…

计算复杂性 · 计算机科学 2015-12-22 Yoshihiko Kayama

We propose a 2-dimensional cellular automaton model to simulate pedestrian traffic. It is a vmax=1 model with exclusion statistics and parallel dynamics. Long-range interactions between the pedestrians are mediated by a so called floor…

统计力学 · 物理学 2009-11-07 C. Burstedde , K. Klauck , A. Schadschneider , J. Zittartz

Shape-programmed sheets morph from one surface into another upon activation by stimuli such as illumination, and have attracted much interest for their potential engineering applications, especially in soft robotics. Complex shape changes…

软凝聚态物质 · 物理学 2024-10-17 Daniel Duffy , Itay Griniasty , John Biggins , Cyrus Mostajeran

Biologically inspired pressure actuated cellular structures can alter their shape through pressure variations. Previous work introduced a computational framework for pressure actuated cellular structures which was limited to two cell rows…

定量方法 · 定量生物学 2017-04-10 Markus Pagitz , Remco I. Leine

Excitable cellular automata with dynamical excitation interval exhibit a wide range of space-time dynamics based on an interplay between propagating excitation patterns which modify excitability of the automaton cells. Such interactions…

元胞自动机与格子气 · 物理学 2015-06-11 Andrew Adamatzky

In the article a transition from pattern evolution equation of reaction-diffusion type to a cellular automaton (CA) is described. The applicability of CA is demonstrated by generating patterns of complex irregular structure on a hexagonal…

图形学 · 计算机科学 2018-07-09 Lovrenc Švegl , Igor Grabec
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