Exhaustive Multi-Parametric Assessment of the Behavioral Array of Daily Activities of Mice Using Cluster and Factor Analysis

Exhaustive Multi-Parametric Assessment of the Behavioral Array of Daily Activities of Mice Using Cluster and Factor Analysis

Using automated supervised behavioral assessment software, we recorded and analyzed 24 h non-interrupted recordings of mice for a duration of 11 days. With the assistance of free R programming, we used correlation matrix-based hierarchical clustering and factor analysis to separate the 33 activities...

Full description

Bibliographic Details
Main Authors: Kenzo Yamamoto, Katsiaryna V. Gris, Jesús E. Sotelo Fonseca, Marjan Gharagozloo, Shaimaa Mahmoud, Camille Simard, Daphné Houle-Martel, Theodore Cloutier, Pavel Gris, Denis Gris
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
behavioral assessment
R program
supervised learning
automated behavioral assessment
homecagescan
long-term continuous recording
Online Access:https://www.frontiersin.org/article/10.3389/fnbeh.2018.00187/full

Internet

https://www.frontiersin.org/article/10.3389/fnbeh.2018.00187/full

Similar Items