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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-64559

Mueller, Kaspar P; Neuhauss, Stephan C F (2012). Automated visual choice discrimination learning in zebrafish (Danio rerio). Journal of Integrative Neuroscience, 11(1):73-85.

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Abstract

Training experimental animals to discriminate between different visual stimuli has been an important tool in cognitive neuroscience as well as in vision research for many decades. Current methods used for visual choice discrimination training of zebrafish require human observers for response tracking, stimulus presentation and reward delivery and, consequently, are very labor intensive and possibly experimenter biased. By combining video tracking of fish positions, stimulus presentation on computer monitors and food delivery by computer-controlled electromagnetic valves, we developed a method that allows for a fully automated training of multiple adult zebrafish to arbitrary visual stimuli in parallel. The standardized training procedure facilitates the comparison of results across different experiments and laboratories and contributes to the usability of zebrafish as vertebrate model organisms in behavioral brain research and vision research.

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5 citations in Web of Science®
6 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
DDC:570 Life sciences; biology
Uncontrolled Keywords:Zebrafish, visual behavior, learning, memory, automated behavioral testing
Language:English
Date:11 March 2012
Deposited On:12 Sep 2012 14:23
Last Modified:23 Dec 2013 22:58
Publisher:Imperial College Press
ISSN:0219-6352
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:10.1142/S0219635212500057
PubMed ID:22744784

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