Estimate of the Effect of Antidepressants in the Forced Swimming Test
V. A. Kulikov, A. V. Kulikov, M. A. Tikhonova, V. S. Kirichuk
Keywords: automation of the experiment, classification, maximum likelihood method, frame-to-frame difference, forced swimming
Pages: 46-51
Abstract
Justification and experimental verification of the computer vision algorithm and the maximum likelihood method for automatic estimation of the time of animal immobility in the forced swimming test are given. The computer vision algorithm is based on studying the difference between the frames with the animal images. The immobility estimates obtained by the existing methods and on the basis of the proposed criterion are compared.
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