@article{fdi:010057267,
  title = {{D}eciphering interactions in moving animal groups},
  author = {{G}autrais, {J}. and {G}inelli, {F}. and {F}ournier, {R}. and {B}lanco, {S}. and {S}oria, {M}arc and {C}hate, {H}. and {T}heraulaz, {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ollective motion phenomena in large groups of social organisms have long fascinated the observer, especially in cases, such as bird flocks or fish schools, where large-scale highly coordinated actions emerge in the absence of obvious leaders. {H}owever, the mechanisms involved in this self-organized behavior are still poorly understood, because the individual-level interactions underlying them remain elusive. {H}ere, we demonstrate the power of a bottom-up methodology to build models for animal group motion from data gathered at the individual scale. {U}sing video tracks of fish shoal in a tank, we show how a careful, incremental analysis at the local scale allows for the determination of the stimulus/response function governing an individual's moving decisions. {W}e find in particular that both positional and orientational effects are present, act upon the fish turning speed, and depend on the swimming speed, yielding a novel schooling model whose parameters are all estimated from data. {O}ur approach also leads to identify a density-dependent effect that results in a behavioral change for the largest groups considered. {T}his suggests that, in confined environment, the behavioral state of fish and their reaction patterns change with group size. {W}e debate the applicability, beyond the particular case studied here, of this novel framework for deciphering interactions in moving animal groups.},
  keywords = {},
  booktitle = {},
  journal = {{P}los {C}omputational {B}iology},
  volume = {8},
  numero = {9},
  pages = {e1002678},
  ISSN = {1553-7358},
  year = {2012},
  DOI = {10.1371/journal.pcbi.1002678},
  URL = {https://www.documentation.ird.fr/hor/fdi:010057267},
}