Automated high-throughput neurophenotyping of zebrafish social behavior

Journal of Neuroscience Methods

Volumn 210, Issue 2, 2012, Pages 266-271

  Green, Jeremy ^a   Collins, Christopher ^a   Kyzar, Evan J ^a   Pham, Mimi ^a   Roth, Andrew ^a   Gaikwad, Siddharth ^a   Cachat, Jonathan ^a   Stewart, Adam Michael ^a   Landsman, Samuel ^a   Grieco, Fabrizio ^b   Tegelenbosch, Ruud ^b   Noldus, Lucas P J J ^b   Kalueff, Allan V ^a,c  

^a TULANE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Noldus Information Technology bv   (Netherlands)

^c ZENEREI Institute   (United States)

Author keywords

Automated quantification; Shoaling; Social behavior; Video tracking; Zebrafish

Indexed keywords

3,4 METHYLENEDIOXYMETHAMPHETAMINE; LYSERGIDE; PHEROMONE;

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; AUTOMATION; COMPUTER PROGRAM; CONTROLLED STUDY; FEMALE; MALE; NEUROBIOLOGY; NONHUMAN; ORGANISM GROUP SIZE; PHENOTYPE; PRIORITY JOURNAL; SHOALING; SOCIAL BEHAVIOR; VIDEORECORDING; ZEBRA FISH;

ANALYSIS OF VARIANCE; ANIMALS; AUTOMATIC DATA PROCESSING; BEHAVIOR, ANIMAL; HALLUCINOGENS; LYSERGIC ACID DIETHYLAMIDE; N-METHYL-3,4-METHYLENEDIOXYAMPHETAMINE; PHENOTYPE; SOCIAL BEHAVIOR; TIME FACTORS; VIDEO RECORDING; ZEBRAFISH;

EID: 84865404610     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2012.07.017     Document Type: Article

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