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Disentangling and modeling interactions in fish with burst-and-coast swimming reveal distinct alignment and attraction behaviors.

Daniel S. CaloviAlexandra LitchinkoValentin LechevalUgo LopezAlfonso Pérez-EscuderoHugues ChatéClément SireGuy Theraulaz
Published in: PLoS Comput. Biol. (2018)
Keyphrases
  • united states
  • learning algorithm
  • real time
  • neural network
  • crowd simulation
  • data sets
  • data mining
  • machine learning
  • multi agent
  • swarm intelligence
  • modeling method
  • sequence alignment
  • natural environment