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Coordinated movement and self-organisation of active self-driven agents is common in nature and is seen across different scales, from herds of animals to collective motion in bacteria. Often, these systems are heterogeneous in composition,…

适应与自组织系统 · 物理学 2026-04-28 Balagopal Nair , Arshed Nabeel , Danny Raj M

Active particles, which interact hydrodynamically, display a remarkable variety of emergent collective phenomena. We use squirmers to model spherical microswimmers and explore the collective behavior of thousands of them under the influence…

流体动力学 · 物理学 2017-10-31 Jan-Timm Kuhr , Johannes Blaschke , Felix Rühle , Holger Stark

In nature self-organized systems as flock of birds, school of fishes or herd of sheeps have to deal with the presence of external agents such as predators or leaders which modify their internal dynamic. Such situations take into account a…

生物物理 · 物理学 2012-10-15 Giacomo Albi , Lorenzo Pareschi

We study the collective dynamics of a population of particles/organisms subject to self-consistent attraction-repulsion interactions and an external velocity field. The starting point of our analysis is a mean-field kinetic model and we…

偏微分方程分析 · 数学 2025-11-04 Thierry Goudon , Antoine Mellet

The properties of biological microswimmers are to a large extent determined by fluid-mediated interactions, which govern their propulsion, perception of their surrounding, and the steering of their motion for feeding or in pursuit.…

软凝聚态物质 · 物理学 2024-06-04 Segun Goh , Roland G. Winkler , Gerhard Gompper

How do landscape fragmentation affects ecosystems diversity and stability is an important and complex question in ecology with no simple answer, as spatially separated habitats where species live are highly dynamic rather than just static.…

混沌动力学 · 物理学 2016-08-17 Ramesh Arumugam , Partha Sharathi Dutta , Tanmoy Banerjee

Microswimmers typically operate in complex environments. In biological systems, often diverse species are simultaneously present and interact with each other. Here, we derive a (time-dependent) particle-scale statistical description, namely…

软凝聚态物质 · 物理学 2019-08-13 Christian Hoell , Hartmut Löwen , Andreas M. Menzel

The ability to capture detailed interactions among individuals in a social group is foundational to our study of animal behavior and neuroscience. Recent advances in deep learning and computer vision are driving rapid progress in methods…

计算机视觉与模式识别 · 计算机科学 2022-12-02 Shiting Xiao , Yufu Wang , Ammon Perkes , Bernd Pfrommer , Marc Schmidt , Kostas Daniilidis , Marc Badger

We experimentally investigate the role of illumination on the collective dynamics of a large school (ca. 50 individuals) of Hemigrammus rhodostomus. The structure of the group, defined using two order parameters, is quantified while…

适应与自组织系统 · 物理学 2023-01-24 Baptiste Lafoux , Jeanne Moscatelli , Ramiro Godoy-Diana , Benjamin Thiria

We monitored twelve acoustically-tagged small pelagic fish (Selar crumenophthalmus) around a floating object in shallow water, playing the role of a coastal fish aggregating device (FAD). We characterized the response of the tagged-fish…

种群与进化 · 定量生物学 2012-02-21 M. Capello , M. Soria , G. Potin , P. Cotel , L. Dagorn

Social foraging is a widespread form of animal foraging in which groups of individuals coordinate their decisions to exploit resources in the environment. Animals show a variety of social structures from egalitarian to hierarchical. In this…

种群与进化 · 定量生物学 2025-03-05 Lisa Blum Moyse , Ahmed El Hady

We study the role of hydrodynamic interactions in the collective behaviour of collections of microscopic active particles suspended in a fluid. We introduce a novel calculational framework that allows us to separate the different…

软凝聚态物质 · 物理学 2017-09-06 Natsuhiko Yoshinaga , Tanniemola B. Liverpool

The aerial flocking of birds, or murmurations, has fascinated observers while presenting many challenges to behavioral study and simulation. We examine how the periphery of murmurations remain well bounded and cohesive. We also investigate…

定量方法 · 定量生物学 2024-07-22 Rama Carl Hoetzlein

In an ecological context, panel data arise when time series measurements are made on a collection of ecological processes. Each process may correspond to a spatial location for field data, or to an experimental ecosystem in a designed…

应用统计 · 统计学 2025-06-10 Bo Yang , Jesse Wheeler , Meghan A. Duffy , Aaron A. King , Edward L. Ionides

We propose a simple adaptive-network model describing recent swarming experiments. Exploiting an analogy with human decision making, we capture the dynamics of the model by a low-dimensional system of equations permitting analytical…

无序系统与神经网络 · 物理学 2011-07-15 Cristián Huepe , Gerd Zschaler , Anne-Ly Do , Thilo Gross

Individual computations and social interactions underlying collective behavior in groups of animals are of great ethological, behavioral, and theoretical interest. While complex individual behaviors have successfully been parsed into small…

神经元与认知 · 定量生物学 2022-06-08 Roy Harpaz , Gašper Tkačik , Elad Schneidman

The spontaneous emergence of collective motion patterns is usually associated with the presence of a velocity alignment mechanism that mediates the interactions among the moving individuals. Despite of this widespread view, it has been…

生物物理 · 物理学 2019-12-18 Fernando Peruani

Computational models of collective behavior in birds has allowed us to infer interaction rules directly from experimental data. Using a generic form of these rules we explore the collective behavior and emergent dynamics of a simulated…

适应与自组织系统 · 物理学 2012-07-24 Michael Small , Xiaoke Xu

Social interactions are fundamental in animal groups, including humans, and can take various forms, such as competition, cooperation, or kinship. Understanding these interactions in marine environments has been historically challenging due…

We run stochastic simulations of the spatial version of the rock-paper-scissors game, considering that individuals use sensory abilities to scan the environment to detect the presence of enemies. If the local dangerousness level is above a…

种群与进化 · 定量生物学 2023-05-04 J. Menezes , E. Rangel