Data-driven modelling of social forces and collective behaviour in zebrafish
| Autor: | Maurizio Porfiri, David A W Barton, Fabrizio Ladu, Adam K. Zienkiewicz, Mario di Bernardo |
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| Přispěvatelé: | Zienkiewicz, A. K., Ladu, F., Barton, D. A. W., Porfiri, Maurizio, di Bernardo, M. |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Computer science Models Biological General Biochemistry Genetics and Molecular Biology Data-driven 03 medical and health sciences 0302 clinical medicine Human–computer interaction Animals Interaction dynamics Computer Simulation Set (psychology) Social Behavior Zebrafish Stochastic differential equation General Immunology and Microbiology biology Mathematical model Behavior Animal Animal Applied Mathematics Primary response General Medicine Biobehavioral Sciences biology.organism_classification Agent-based modelling 030104 developmental biology Biobehavioral Science Social force Modeling and Simulation Stochastic differential equations General Agricultural and Biological Sciences 030217 neurology & neurosurgery |
| Zdroj: | Zienkiewicz, A K, Ladu, F, Barton, D A W, Porfiri, M & Di Bernardo, M 2018, ' Data-driven modelling of social forces and collective behaviour in zebrafish ', Journal of Theoretical Biology, vol. 443, pp. 39-51 . https://doi.org/10.1016/j.jtbi.2018.01.011 |
| ISSN: | 1095-8541 |
| DOI: | 10.1016/j.jtbi.2018.01.011 |
| Popis: | Zebrafish are rapidly emerging as a powerful model organism in hypothesis-driven studies targeting a number of functional and dysfunctional processes. Mathematical models of zebrafish behaviour can inform the design of experiments, through the unprecedented ability to perform pilot trials on a computer. At the same time, in-silico experiments could help refining the analysis of real data, by enabling the systematic investigation of key neurobehavioural factors. Here, we establish a data-driven model of zebrafish social interaction. Specifically, we derive a set of interaction rules to capture the primary response mechanisms which have been observed experimentally. Contrary to previous studies, we include dynamic speed regulation in addition to turning responses, which together provide attractive, repulsive and alignment interactions between individuals. The resulting multi-agent model provides a novel, bottom-up framework to describe both the spontaneous motion and individual-level interaction dynamics of zebrafish, inferred directly from experimental observations. |
| Databáze: | OpenAIRE |
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