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Recent developments in optogenetics allow for quick and minimally-invasive methods of studying functional brain organization in animal models. DeepLabCut (DLC), a toolbox for markerless pose estimation, offers the ability to track user-defined features in 3-dimensions with human level accuracy. We demonstrate a hybrid method utilizing DLC and optogenetic motor mapping to localize the movements of multiple modalities to the mouse cortex. We outline a pipeline to map and characterize multiple motor representations in anesthetized and awake mice. Furthermore, we identify behaviorally-relevant motor movements of multiple limbs reside in overlapping cortical representations of the respective limbs.
Nischal Khanal,Kevin Schulte,Trevor Voss,Jonah Padawer-Curry,Byungchan Kim,Annie R. Bice, andAdam Bauer
"Automated light-based motor mapping of multiple limb movements in mice using deep neural networks", Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116290O (5 March 2021); https://doi.org/10.1117/12.2578860
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Nischal Khanal, Kevin Schulte, Trevor Voss, Jonah Padawer-Curry, Byungchan Kim, Annie R. Bice, Adam Bauer, "Automated light-based motor mapping of multiple limb movements in mice using deep neural networks," Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116290O (5 March 2021); https://doi.org/10.1117/12.2578860