Author

Christian Zimmermann

University of FreiburgPrimary ORCID profile (0000-0002-6440-2100 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Christian ZimmermanniD4 papers · TU Wien

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:rat· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Artur SchneideriD· 2 shared Ilka DiesteriD· 2 shared Mansour AlyahyayiD· 2 shared Thomas BroxiD· 2 shared Florian SteenbergeniD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Artur SchneiderORCID

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2 papers

Recent·Most cited

3D pose estimation enables virtual head-fixation in freely moving rats

Artur Schneider, Christian Zimmermann, Mansour Alyahyay, Florian Steenbergen, Thomas Brox, Ilka Diester

This paper introduces a framework for 3D pose estimation in freely moving rats to remove movement artifacts from neural recordings, revealing new insights into motor cortex neuron tuning.

Neuron · May 23, 2022Peer-reviewedNeuroscience

FreiPose: A Deep Learning Framework for Precise Animal Motion Capture in 3D Spaces

Christian Zimmermann, Artur Schneider, Mansour Alyahyay, Thomas Brox, Ilka Diester

FreiPose is a deep learning framework for precise 3D motion capture of animals, showing high accuracy and reliability in tracking rats during electrophysiological and optogenetic experiments.

bioRxiv · Feb 27, 2020 · PreprintNeuroscience