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Automated movement analysis of mouse beam walking using neural networks

Sebastian Kloubert 0039109cf1 Update 'datacite.yml'		4 年之前
DLC_results	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
Manual_Rotating_Beam_Analysis	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
Networks	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
PB_T3_Stroke	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
R_scripts	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
Thesis_figures	6e1117cb09 gin commit from AgAswendt-OptiPlex-9020	4 年之前
LICENSE	db3cc0a494 Update 'LICENSE'	4 年之前
README.md	cac796855e Initial commit	4 年之前
datacite.yml	0039109cf1 Update 'datacite.yml'	4 年之前

Automated_Rotating_Beam_Analysis

Automated movement analysis of mouse beam walking using neural networks

datacite.yml
Title	Automated movement analysis of mouse beam walking using neural networks
Authors	Kloubert,Sebastian;University Hospital Cologne Aswendt,Markus;University Hospital Cologne;ORCID:0000-0003-1423-0934 Wieters,Frederique;University Hospital Cologne
Description	This storage contains the whole data and results of the evaluation whether the software package DeepLabCut (DLC) is able to sufficiently label and thus automate the analysis of videos of mice performing the behavior test Rotating Beam. The post-processing was performed via R. The software package DeepLabCut is able to collect all important data for the automated analysis of the behavior test Rotating Beam and has sufficient accuracy to use the collected data to provide results to a scientific study. The comparison to the manual raters showed that the predictions of DeepLabCut are a good generalization not influenced by human bias. This allows to extend the usage to advanced analyses with more complex parameters.
License	Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/)
References
Funding
Keywords	Neuroscience DLC Rotating Beam
Resource Type	Dataset