Year: 2015
Type: article
Abstract: Models of collective animal motion can greatly aid in the design and interpretation of behavioural experiments that seek to unravel, isolate, and manipulate the determinants of leader-follower relationships. Here, we develop an initial model of zebrafish social behaviour, which accounts for both speed and angular velocity regulatory interactions among conspecifics. Using this model, we analyse the macroscopic observables of small shoals influenced by an “informed” agent, showing that leaders which actively modulate their speed with respect to their neighbours can entrain and stabilise collective dynamics of the naïve shoal.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,790
Awards: G2212849961, G2216345608, Causal Relationships Underlying the Collective Dynamic Behavior of Swarms, CDS&E: Modeling the Zebrafish Model Organism Toward Reducing, Refining, and Replacing Animal Experiments, Systematic experimental exploration of nonlinear structures with control-based continuation, Bristol Centre for Complexity Sciences (BCCS) Centre for Doctoral Training (CDT): Proposal for renewal, CAREER: Guidance and Control of Fish Shoals using Bio-Mimetic Robots, G6666429659, G7133550320, Collaborative Research: Geometry of Group Behaviors with Application to Fish Schooling, G8096366696, G8210078313
OpenAlex ID: W1952743753