The Advantages of Structural Equation Modeling to Address the Complexity of Spatial Reference Learning.

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作者： Pedro S,Moreira ^[1] ; Ioannis,Sotiropoulos ^[1] ; Joana,Silva ^[1] ; Akihiko,Takashima ^[2] ; Nuno,Sousa ^[1] ; Hugo,Leite-Almeida ^[1] ; Patrício S,Costa ^[1]

作者单位： Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of MinhoBraga, Portugal; ICVS/3B's - PT Government Associate LaboratoryBraga/Guimarães, Portugal. ^[1] RIKEN Brain Science Institute, Laboratory for Alzheimers DiseaseSaitama, Japan; Department of Aging Neurobiology, National Center for Geriatrics and GerontologyOhbu, Japan. ^[2]

关键词 auto-regressive latent trajectories longitudinal assessments reference learning

DOI 10.3389/fnbeh.2016.00018

PMID 26955327

发布时间 2020-09-29

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Frontiers in behavioral neuroscience

2016年10卷

18页

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The Advantages of Structural Equation Modeling to Address the Complexity of Spatial Reference Learning.

Frontiers in behavioral neuroscience

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The Advantages of Structural Equation Modeling to Address the Complexity of Spatial Reference Learning.

Frontiers in behavioral neuroscience

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Frontiers in behavioral neuroscience

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