4.3 Article

Y-maze avoidance: An automated and rapid associative learning paradigm in zebrafish

Journal

NEUROSCIENCE RESEARCH
Volume 91, Issue -, Pages 69-72

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.neures.2014.10.012

Keywords

Adult zebrafish; Aversive learning paradigm; MATLAB; Automated position detection

Categories

Funding

  1. MEXT of Japan [23120008, 23-9726]
  2. CREST from JST, Japan
  3. Grants-in-Aid for Scientific Research [26291018] Funding Source: KAKEN

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Adult zebrafish are gaining attention in behavioral neuroscience. By combining video tracking and computer-controlled visual cue presentations on a liquid crystal display screen under the tank, we have developed a new method by which zebrafish can be trained to avoid one arm of a Y-shaped tank by presenting a specific color on the floor paired with an electric shock. Within two hours, zebrafish learn to choose the correct arm at an efficiency of 89.0%. In addition, we also developed a graphical user interface to modify the paradigm assessment parameters such as shape of the tank and time schedules. (C) 2014 Elsevier Ireland Ltd and the Japan Neuroscience Society. All rights reserved.

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