The advantages of Structural Equation Modelling to address the complexity of spatial reference learning

The advantages of Structural Equation Modelling to address the complexity of spatial reference learning

Background: Cognitive performance is a complex process influenced by multiple factors. Cognitive assessment in experimental animals is often based on longitudinal datasets analyzed using uni- and multivariate analyses that do not account for the temporal dimension of cognitive performance and also d...

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Bibliographic Details
Main Authors: Pedro Silva Moreira, Ioannis eSotiropoulos, Joana eSilva, Akihiko eTakashima, Nuno eSousa, Hugo eLeite-Almeida, Patrício Soares Costa
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
Learning
animal behavior
auto-regressive model
Morris Water Maze (MWM)
Longitudinal assessment
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbeh.2016.00018/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbeh.2016.00018/full

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