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Living systems such as neuronal networks and animal groups process information about their environment via the dynamics of interacting units. These can transition between distinct macroscopic behaviors. Near such a transition (or critical…

One of the most highly debated questions in the field of animal swarming and social behaviour, is the collective random patterns and chaotic behaviour formed by some animal species, in particular if there is a danger. Is such a behaviour…

种群与进化 · 定量生物学 2017-01-04 Usama Kadri , Franz Brümmer , Anan Kadri

Fish schooling is often modeled with self-propelled particles subject to phenomenological behavioral rules. Although fish are known to sense and exploit flow features, these models usually neglect hydrodynamics. Here, we propose a novel…

生物物理 · 物理学 2018-05-16 Audrey Filella , François Nadal , Clément Sire , Eva Kanso , Christophe Eloy

Collective motion in animal groups emerges from the interplay between individual variability and social coordination, yet connecting these scales quantitatively has remained a major challenge.Using high-resolution trajectories of schooling…

其他凝聚态物理 · 物理学 2026-01-15 Elena G. de Lamo , M. Carmen Miguel , Romualdo Pastor-Satorras

In open water, social fish gather to form schools, in which fish generally align with each other. In this work, we study how this social behavior evolves when perturbed by artificial obstacles. We measure the collective behavior of a group…

Schooling fish often self-organize into a variety of collective patterns, from polarized schooling to rotational milling. Mathematical models support the emergence of these large-scale patterns from local decentralized interactions, in the…

适应与自组织系统 · 物理学 2025-07-23 Alyssa Chan , Eva Kanso

While a rich variety of self-propelled particle models propose to explain the collective motion of fish and other animals, rigorous statistical comparison between models and data remains a challenge. Plausible models should be flexible…

定量方法 · 定量生物学 2017-04-28 Maksym Romenskyy , James E. Herbert-Read , Ashley J. W. Ward , David J. T. Sumpter

The complex formations exhibited by schooling fish have long been the object of fascination for biologists and physicists. However, the physical and sensory mechanisms leading to organized collective behavior remain elusive. On the physical…

流体动力学 · 物理学 2025-07-09 Anand U. Oza , Eva Kanso , Michael J. Shelley

Animals form groups for many reasons but there are costs and benefit associated with group formation. One of the benefits is collective memory. In groups on the move, social interactions play a crucial role in the cohesion and the ability…

定量方法 · 定量生物学 2014-03-24 Giancarlo De Luca , Patrizio Mariani , Brian R. MacKenzie , Matteo Marsili

This study builds upon our previously proposed stochastic differential equation (SDE)-based model to further investigate fish school fragmentation under predation. Specifically, we explore structural dynamics by incorporating…

定量方法 · 定量生物学 2025-08-05 Junyi Qi , Thorkil Casse , Masayoshi Harada , Linh Thi Hoai Nguyen , Ton Viet Ta

The remarkable cohesion and coordination observed in moving animal groups and their collective responsiveness to threats are thought to be mediated by scale-free correlations, where changes in the behavior of one animal influence others in…

生物物理 · 物理学 2025-06-05 Haotian Hang , Chenchen Huang , Alex Barnett , Eva Kanso

Schooling, an archetype of collective behavior, emerges from the interactions of fish responding to visual and other informative cues mediated by their aqueous environment. In this context, a fundamental and largely unexplored question…

流体动力学 · 物理学 2016-04-20 Mattia Gazzola , Andrew A. Tchieu , Dmitry Alexeev , Alexia de Brauer , Petros Koumoutsakos

We determine the basic phase diagram of the fish school model derived from data by Gautrais etal (PLoS Comp. Biol. 8, e1002678 (2012)), exploring its parameter space beyond the parameter values determined experimentally on groups of barred…

定量方法 · 定量生物学 2015-02-03 Daniel S. Calovi , Ugo Lopez , Sandrine Ngo , Clément Sire , Hugues Chaté , Guy Theraulaz

The exceptional reactivity of animal collectives to predatory attacks is thought to be due to rapid, but local, transfer of information between group members. These groups turn together in unison and produce escape waves. However, it is not…

种群与进化 · 定量生物学 2015-06-05 James Herbert-Read , Jerome Buhl , Feng Hu , Ashley Ward , David Sumpter

Collective behaviour in living systems is observed across many scales, from bacteria to insects, to fish shoals. Zebrafish have emerged as a model system amenable to laboratory study. Here we report a three-dimensional study of the…

统计力学 · 物理学 2024-05-16 Yushi Yang , Francesco Turci , Erika Kague , Chrissy L. Hammond , John Russo , C. Patrick Royall

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

We report on the dynamics of collective alignment in groups of the cichlid fish, Etroplus suratensis. Focusing on small-to-intermediate sized groups ($10<N<100$), we demonstrate that schooling (highly polarised and coherent motion) is…

Demonstrating and quantifying the respective roles of social interactions and external stimuli governing fish dynamics is key to understanding fish spatial distribution. If seminal studies have contributed to our understanding of fish…

生物物理 · 物理学 2015-06-03 Manuela Capello , Marc Soria , Pascal Cotel , Jean-Louis Deneubourg , Laurent Dagorn

The acoustic properties of a fish school have been modelled using a cloud of bubbles. Similar to how bubble clouds present a collective monopole mode, a fish school also shows a collective breathing mode in which the whole school resonates…

生物物理 · 物理学 2017-07-19 F. Meseguer , F. Ramiro-Manzano

Animals moving together in groups are believed to interact among each other with effective social forces, such as attraction, repulsion and alignment. Such forces can be inferred using 'force maps', i.e. by analysing the dependency of the…

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