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Data-driven modelling of social forces and collective behaviour in zebrafish

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Publication:1649430
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DOI10.1016/j.jtbi.2018.01.011zbMath1397.92780OpenAlexW2790081723WikidataQ47554402 ScholiaQ47554402MaRDI QIDQ1649430

Adam K. Zienkiewicz, Fabrizio Ladu, David A. W. Barton, Maurizio Porfiri, Mario di Bernardo

Publication date: 6 July 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://research-information.bris.ac.uk/ws/files/147585519/David_Barton_Data_driven_modelling_of_social_forces_and_collective_behaviour_in_zebrafish.pdf

zbMATH Keywords

stochastic differential equationsagent-based modellingdata-drivenzebrafish


Mathematics Subject Classification ID

Animal behavior (92D50)


Related Items

Systematic analysis of emergent collective motion produced by a 3D hybrid zonal model, Data-driven modeling of zebrafish behavioral response to acute caffeine administration, Nonlinear pinning control of stochastic network systems



Cites Work

  • Mathematical analysis and validation of an exactly solvable model for upstream migration of fish schools in one-dimensional rivers
  • Data-driven stochastic modelling of zebrafish locomotion
  • Analyzing fish movement as a persistent turning walker
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