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SUMMARY:Data-driven modeling of collective behavior in schooling fish - Gu
 y Theraulaz (CNRS (Centre national de la recherche scientifique))
DTSTART:20230809T080000Z
DTEND:20230809T090000Z
UID:TALK201454@talks.cam.ac.uk
DESCRIPTION:Swarms of insects\, schools of fish and flocks of birds displa
 y an impressive variety of collective movements that emerge from local int
 eractions among group members. To understand the mechanisms that govern th
 ese phenomena\, we need to decipher the interactions between individuals\,
  to identify the information exchanged during these interactions and\, fin
 ally\, to characterize and quantify the effects of these interactions on t
 he behavior of individuals. We have recently introduced a general method t
 o extract from individuals&rsquo\; trajectories the social interaction fun
 ctions between two individuals that are required to achieve coordinated mo
 tion. Using large sets of tracking data\, we used this method to reconstru
 ct and model the interactions between individuals in rummy-nose tetra (H. 
 rhodostomus). This species performs a burst-and-coast type of swimming cha
 racterized by sequences of sudden increase in speed followed by a mostly p
 assive gliding period. The effect of social interactions on a fish heading
  can then be precisely measured. In particular\, one can quantify the stre
 ngth of attraction\, repulsion\, and alignment behavior resulting from the
 se interactions as a function of the distance between fish and their relat
 ive positions and orientations. Our results show that both attraction and 
 alignment behaviors control the reaction of fish to a neighbor. We used th
 ese results to build a model of spontaneous burst-and-coast swimming and s
 ocial interactions of fish\, with all parameters being estimated or direct
 ly measured from experiments. Then we have extended our approach to analyz
 e collective behavior in larger groups of fish and showed that individuals
  typically interact with their two most influential neighbors. Overall\, o
 ur results suggest that fish have to acquire only a minimal amount of info
 rmation about their environment to coordinate their movements when swimmin
 g in groups.
LOCATION:Seminar Room 1\, Newton Institute
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