Automated light-based motor mapping of multiple limb movements in mice using deep neural networks

Jonah Padawer-Curry; Jonah Padawer-Curry; Nischal Khanal; Nischal Khanal; Kevin Schulte; Trevor Voss; Byungchan Kim; Annie R. Bice; Adam Q. Bauer; Adam Q. Bauer; Adam Q. Bauer

doi:10.1364/BRAIN.2022.BTu4C.3

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper BTu4C.3
•https://doi.org/10.1364/BRAIN.2022.BTu4C.3

Automated light-based motor mapping of multiple limb movements in mice using deep neural networks

Jonah Padawer-Curry, Nischal Khanal, Kevin Schulte, Trevor Voss, Byungchan Kim, Annie R. Bice, and Adam Q. Bauer

Optics and the Brain 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

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Big Data and Computational Methods (BTu4C)

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J. Padawer-Curry, N. Khanal, K. Schulte, T. Voss, B. Kim, A. R. Bice, and A. Q. Bauer, "Automated light-based motor mapping of multiple limb movements in mice using deep neural networks," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper BTu4C.3.

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Abstract

We demonstrate a hybrid method utilizing DeepLabCut and LBM-MM to concurrently localize motor representations of multiple limbs in mice. Results suggest that motor movements involving multiple limbs reside in overlapping cortical representations of each limb.

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