Automated classification of the behavior of rats in the forced swimming test with support vector machines-Reference-Cited by-同舟云学术

Automated classification of the behavior of rats in the forced swimming test with support vector machines

Published:2008-01 Issue:1 Volume:21 Page:92-101
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Fröhlich Holger,Hoenselaar Andreas,Eichner Jonas,Rosenbrock Holger,Birk Gerald,Zell Andreas

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference23 articles.

1. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains;Baum;Annal of Mathematical Statistics,1970

2. Belozertseva, I., Kos, T., Popik, P., Danysz, W., & Bespalov, A. (2006). Antidepressant-like effects of mglur1 and mglu5 antagonists in the rat forced swim and the mouse tail suspension test. European Neuropsychopharmacology. Epub ahead of print

3. Role of the serotonergic system in the forced swimming test;Borsini;Neuroscience Biobehavioral Reviews,1995

4. Is the forced swimming test a suitable model for revealing antidepressant activity?;Borsini;Psychopharmacology (Berl),1988

5. Support vector networks;Cortes;Machine Learning,1995

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