Pubblicazione scientifica

Identifying influential neighbors in animal flocking

FILONE TECNOLOGICO	TEMA
trasformazione e commercializzazione

RIASSUNTO

Schools of fish and flocks of birds can move together in synchrony and decide on new directions of movement in a seamless way. This is possible because group members constantly share directional information with their neighbors. Although detecting the directionality of other group members is known to be important to maintain cohesion, it is not clear how many neighbors each individual can simultaneously track and pay attention to, and what the spatial distribution of these influential neighbors is. Here, we address these questions on shoals of Hemigrammus rhodostomus, a species of fish exhibiting strong schooling behavior. We adopt a data-driven analysis technique based on the study of short-term directional correlations to identify which neighbors have the strongest influence over the participation of an individual in a collective U-turn event. We find that fish mainly react to one or two neighbors at a time. Moreover, we find no correlation between the distance rank of a neighbor and its likelihood to be influential. We interpret our results in terms of fish allocating sequential and selective attention to their neighbors.

DATA

Data di pubblicazione: 21/11/2017

AUTORI

JIANG LI
GIUGGIOLI LUCA
PERNA ANDREA
ESCOBEDO RAMON
LECHEVAL VALENTIN
SIRE CLEMENT
HAN ZHANGANG
THERAULAZ GUY

ENTE DI AFFERENZA

SCHOOL OF SYS SCIENCE BEIJING NORMAL UNIV BEIJING CHINA
CTR RECHERCHES SUR LA COGNITION ANIMALE CTR BIOLOGIE INTEGRATIVE CBI CTR NATL RECHERCHE SCIENTIFIQUE CNRS UNIV PAUL SABATIER UPS TOULOUSE FRANCE
BRISTOL CTR COMPLEXITY SCIENCES DEPT ENG MATHEMATICS & SCHOOL OF BIOLOGICAL SCIENCES UNIV BRISTOL BRISTOL UK
LIFE SCIENCES ROEHAMPTON UNIV LONDON UK
GRONINGEN INST EVOLUTIONARY LIFE SCIENCES UNIV GRONINGEN CTR LIFE SCIENCES GRONINGEN NETHERLANDS
LAB DE PHYSIQUE THEORIQUE CNRS & UNIV TOULOUSE UPS TOULOUSE FRANCE
OXFORD UK

RIVISTA

PLoS Computational Biology, 13(11), e1005822

IMPACT FACTOR

4,380

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