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Proceedings Paper

Can robotic fish help zebrafish learn to open doors?
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Paper Abstract

Zebrafish is a widely used animal model in behavioral neuroscience. However, zebrafish learning capabilities are not completely understood. Technological advancements in robotics promise fine behavioral control of artificial conspecifics to study complex aspects of social behavior. In this work, we developed a training system aimed at investigating individual and social learning of zebrafish. The system consists of a shallow water tank, a 2- dimensional robotic platform, and a real-time tracking software. In the tank, a focal individual is separated from a shoal of conspecifics by a one-way glass and a transparent partition, allowing the focal fish to see the shoal. In the transparent partition are two doors, one that automatically opens when the focal individual spends a predetermined amount of time in front of it and another that remains closed regardless of the fish behavior. We tested the system by training one na¨ıve fish in individual learning and one fish in social learning over 20 sessions. Test results show that the fish can learn to open the door and also validated the effectiveness of the developed system applying on individual and social learning.

Paper Details

Date Published: 13 March 2019
PDF: 6 pages
Proc. SPIE 10965, Bioinspiration, Biomimetics, and Bioreplication IX, 109650B (13 March 2019); doi: 10.1117/12.2514289
Show Author Affiliations
Yanpeng Yang, Tianjin Univ. (China)
NYU Tandon School of Engineering (United States)
Brandon LeMay, NYU Tandon School of Engineering (United States)
Rana El Khoury, NYU Tandon School of Engineering (United States)
Romain J. G. Clément, NYU Tandon School of Engineering (United States)
Stefano Ghirlanda, Brooklyn College (United States)
City College of New York (United States)
Stockholm Univ. (Sweden)
Maurizio Porfiri, NYU Tandon School of Engineering (United States)

Published in SPIE Proceedings Vol. 10965:
Bioinspiration, Biomimetics, and Bioreplication IX
Raúl J. Martín-Palma; Mato Knez; Akhlesh Lakhtakia, Editor(s)

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