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Fishlike rheotaxis

Published online by Cambridge University Press:  18 March 2016

Brendan Colvert  and
Eva Kanso
Brendan Colvert
Affiliation:
Aerospace and Mechanical Engineering, University of Southern California, 854 Downey Way, Los Angeles, CA 90089-1191, USA
Eva Kanso*
Affiliation:
Aerospace and Mechanical Engineering, University of Southern California, 854 Downey Way, Los Angeles, CA 90089-1191, USA
*
†Email address for correspondence: kanso@usc.edu
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Abstract

Fish rheotaxis, or alignment into flow currents, results from intertwined sensory, neural and actuation mechanisms, all coupled with hydrodynamics to produce a behaviour that is critical for upstream migration and position holding in oncoming flows. Among several sensory modalities, the lateral-line sensory system is thought to play a major role in the fish ability to sense minute water motions in their vicinity and, thus, in their rheotactic behaviour. Here, we propose a theoretical model consisting of a fishlike body equipped with lateral pressure sensors in oncoming uniform flows. We compute the optimal sensor locations that maximize the sensory output. Our results confirm recent experimental findings that correlate the layout of the lateral-line sensors with the distribution of hydrodynamic information at the fish surface. We then examine the behavioural response of the fishlike model as a function of its orientation and swimming speed relative to the background flow. Our working hypothesis is that fish respond to sensory information by adjusting their orientation according to the perceived difference in pressure. We find that, as in fish rheotaxis, the fishlike body responds by aligning into the oncoming flow. These findings may have significant implications on understanding the interplay between the sensory output and fish behaviour.

JFM classification

Biological Fluid Dynamics: Biological Fluid Dynamics Nonlinear Dynamical Systems: Nonlinear Dynamical Systems Biological Fluid Dynamics: Swimming/flying
Type
Papers
Information
Journal of Fluid Mechanics , Volume 793 , 25 April 2016 , pp. 656 - 666
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Copyright
© 2016 Cambridge University Press 

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