The physics of flocking: Correlation as a compass from experiments to theory

被引:106
作者
Cavagna, Andrea [1 ]
Giardina, Irene [1 ,2 ,3 ]
Grigera, Tomas S. [4 ,5 ,6 ,7 ]
机构
[1] CNR, Ist Sistemi Complessi, I-00185 Rome, Italy
[2] Univ Sapienza, Dipartimento Fis, I-00185 Rome, Italy
[3] Ist Nazl Fis Nucl, Unita Roma, I-00185 Rome, Italy
[4] Consejo Nacl Invest Cient & Tecn, Inst Fis Liquidos & Sistemas Biol IFLYSIB, Calle 59 789,B1900BTE, La Plata, Buenos Aires, Argentina
[5] Univ Nacl La Plata, Calle 59 789,B1900BTE, La Plata, Buenos Aires, Argentina
[6] Consejo Nacl Invest Cient & Tecn CONICET, CCT CONICET La Plata, Buenos Aires, DF, Argentina
[7] Univ Nacl La Plata, Fac Ciencias Exactas, Dept Fis, La Plata, Buenos Aires, Argentina
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2018年 / 728卷
基金
欧洲研究理事会;
关键词
COLLECTIVE ANIMAL BEHAVIOR; SCALE-FREE CORRELATIONS; INFORMATION-THEORY; STARFLAG HANDBOOK; LATTICE MODEL; ORDER; DENSITY; MOTION;
D O I
10.1016/j.physrep.2017.11.003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Collective behavior in biological systems is a complex topic, to say the least. It runs wildly across scales in both space and time, involving taxonomically vastly different organisms, from bacteria and cell clusters, to insect swarms and up to vertebrate groups. It entails concepts as diverse as coordination, emergence, interaction, information, cooperation, decision-making, and synchronization. Amid this jumble, however, we cannot help noting many similarities between collective behavior in biological systems and collective behavior in statistical physics, even though none of these organisms remotely looks like an Ising spin. Such similarities, though somewhat qualitative, are startling, and regard mostly the emergence of global dynamical patterns qualitatively different from individual behavior, and the development of system-level order from local interactions. It is therefore tempting to describe collective behavior in biology within the conceptual framework of statistical physics, in the hope to extend to this new fascinating field at least part of the great predictive power of theoretical physics. In this review we propose that the conceptual cornerstone of this ambitious program be that of correlation. To illustrate this idea we address the case of collective behavior in bird flocks. Two key threads emerge, as two sides of one single story: the presence of scale-free correlations and the dynamical mechanism of information transfer. We discuss first static correlations in starling flocks, in particular the experimental finding of their scale-free nature, the formulation of models that account for this fact using maximum entropy, and the relation of scale-free correlations to information transfer. This is followed by a dynamic treatment of information propagation (propagation of turns across a flock), starting with a discussion of experimental results and following with possible theoretical explanations of those, which require the addition of behavioral inertia to existing theories of flocking. We finish with the definition and analysis of space time correlations and their relevance to the detection of inertial behavior in the absence of external perturbations. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 62
页数:62
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