Data-driven stochastic modelling of zebrafish locomotion

DOI10.1007/s00285-014-0843-2zbMath1352.37201OpenAlexW2142590358WikidataQ30667268 ScholiaQ30667268MaRDI QIDQ887399

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

Publication date: 26 October 2015

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

Full work available at URL: https://doi.org/10.1007/s00285-014-0843-2

zbMATH Keywords

stochastic modelscomputational biologyzebrafishfish locomotion

Mathematics Subject Classification ID

Applications of functional analysis in biology and other sciences (46N60) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stochastic models in economics (91B70) Dynamical systems in biology (37N25) Biology, chemistry, medicine (aspects of mathematics education) (97M60)

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Uses Software

• Boids

Cites Work

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• Portraits of self-organization in fish schools interacting with robots
• Stochastic methods. A handbook for the natural and social sciences
• Analyzing fish movement as a persistent turning walker
• Collective motion from local attraction
• Integrating behavioral and neural data in a model of zebrafish network interaction