Comparative Evaluation of DeepLabCut Convolutional Neural Network Architectures for High-Precision Markerless Tracking in the Mouse Staircase Test

Precise quantification of fine motor behaviour is essential for understanding neural circuit function and for evaluating therapeutic interventions in neurological disorders. While markerless pose estimation frameworks such as DeepLabCut (DLC) have transformed behavioural phenotyping, the choice of c...

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Bibliografische gegevens

Hoofdauteurs:	Valentin Fernandez, Landoline Bonnin, Afsaneh Gaillard, Christine Fernandez-Maloigne
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2026-02-01
Reeks:	Bioengineering
Onderwerpen:	DeepLabCut convolutional neural networks (CNN) markerless tracking staircase test pose estimation kinematic analysis
Online toegang:	https://www.mdpi.com/2306-5354/13/2/215
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