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• W3099688045 startingPage "150473" @default.
• W3099688045 abstract "Collective motion is one of the most ubiquitous behaviours displayed by social organisms and has led to the development of numerous models. Recent advances in the understanding of sensory system and information processing by animals impels one to revise classical assumptions made in decisional algorithms. In this context, we present a model describing the three-dimensional visual sensory system of fish that adjust their trajectory according to their perception field. Furthermore, we introduce a stochastic process based on a probability distribution function to move in targeted directions rather than on a summation of influential vectors as is classically assumed by most models. In parallel, we present experimental results of zebrafish (alone or in group of 10) swimming in both homogeneous and heterogeneous environments. We use these experimental data to set the parameter values of our model and show that this perception-based approach can simulate the collective motion of species showing cohesive behaviour in heterogeneous environments. Finally, we discuss the advances of this multilayer model and its possible outcomes in biological, physical and robotic sciences." @default.
• W3099688045 created "2020-11-23" @default.
• W3099688045 creator A5001500450 @default.
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• W3099688045 date "2016-01-01" @default.
• W3099688045 modified "2023-10-11" @default.
• W3099688045 title "A stochastic vision-based model inspired by zebrafish collective behaviour in heterogeneous environments" @default.
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• W3099688045 doi "https://doi.org/10.1098/rsos.150473" @default.
• W3099688045 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4736928" @default.
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• W3099688045 hasPublicationYear "2016" @default.
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