Modeling multi-sensory feedback control of zebrafish in a flow.

ABSTRACT: Understanding how animals navigate complex environments is a fundamental challenge in biology and a source of inspiration for the design of autonomous systems in engineering. Animal orientation and navigation is a complex process that integrates multiple senses, whose function and contribution are yet to be fully clarified. Here, we propose a data-driven mathematical model of adult zebrafish engaging in counter-flow swimming, an innate behavior known as rheotaxis. Zebrafish locomotion in a two-dimensional fluid flow is described within the finite-dipole model, which consists of a pair of vortices separated by a constant distance. The strength of these vortices is adjusted in real time by the fish to afford orientation and navigation control, in response to of the multi-sensory input from v

SUBMITTER: Burbano-L DA 

PROVIDER: S-EPMC7857640 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature