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Mackenzie Weygandt Mathis - Publications

Affiliations: 
École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 
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19 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Weinreb C, Pearl JE, Lin S, Osman MAM, Zhang L, Annapragada S, Conlin E, Hoffmann R, Makowska S, Gillis WF, Jay M, Ye S, Mathis A, Mathis MW, Pereira T, et al. Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Nature Methods. 21: 1329-1339. PMID 38997595 DOI: 10.1038/s41592-024-02318-2  0.734
2024 Ye S, Filippova A, Lauer J, Schneider S, Vidal M, Qiu T, Mathis A, Mathis MW. SuperAnimal pretrained pose estimation models for behavioral analysis. Nature Communications. 15: 5165. PMID 38906853 DOI: 10.1038/s41467-024-48792-2  0.728
2023 Sandbrink KJ, Mamidanna P, Michaelis C, Bethge M, Mathis MW, Mathis A. Contrasting action and posture coding with hierarchical deep neural network models of proprioception. Elife. 12. PMID 37254843 DOI: 10.7554/eLife.81499  0.716
2023 Weinreb C, Osman MAM, Zhang L, Lin S, Pearl J, Annapragada S, Conlin E, Gillis WF, Jay M, Ye S, Mathis A, Mathis MW, Pereira T, Linderman SW, Datta SR. Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Biorxiv : the Preprint Server For Biology. PMID 36993589 DOI: 10.1101/2023.03.16.532307  0.723
2023 Frey M, Mathis MW, Mathis A. NeuroAI: If grid cells are the answer, is path integration the question? Current Biology : Cb. 33: R190-R192. PMID 36917942 DOI: 10.1016/j.cub.2023.01.031  0.653
2023 Balci F, Ben Hamed S, Boraud T, Bouret S, Brochier T, Brun C, Cohen JY, Coutureau E, Deffains M, Doyère V, Gregoriou GG, Heimel JA, Kilavik BE, Lee D, Leuthardt EC, ... ... Mathis M, et al. A response to claims of emergent intelligence and sentience in a dish. Neuron. 111: 604-605. PMID 36863319 DOI: 10.1016/j.neuron.2023.02.009  0.661
2022 Koch C, Svoboda K, Bernard A, Basso MA, Churchland AK, Fairhall AL, Groblewski PA, Lecoq JA, Mainen ZF, Mathis MW, Olsen SR, Phillips JW, Pouget A, Saxena S, Siegle JH, et al. Next-generation brain observatories. Neuron. PMID 36240770 DOI: 10.1016/j.neuron.2022.09.033  0.576
2022 Akiti K, Tsutsui-Kimura I, Xie Y, Mathis A, Markowitz JE, Anyoha R, Datta SR, Mathis MW, Uchida N, Watabe-Uchida M. Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction. Neuron. PMID 36130595 DOI: 10.1016/j.neuron.2022.08.022  0.748
2022 Lauer J, Zhou M, Ye S, Menegas W, Schneider S, Nath T, Rahman MM, Di Santo V, Soberanes D, Feng G, Murthy VN, Lauder G, Dulac C, Mathis MW, Mathis A. Multi-animal pose estimation, identification and tracking with DeepLabCut. Nature Methods. 19: 496-504. PMID 35414125 DOI: 10.1038/s41592-022-01443-0  0.721
2022 Tuia D, Kellenberger B, Beery S, Costelloe BR, Zuffi S, Risse B, Mathis A, Mathis MW, van Langevelde F, Burghardt T, Kays R, Klinck H, Wikelski M, Couzin ID, van Horn G, et al. Perspectives in machine learning for wildlife conservation. Nature Communications. 13: 792. PMID 35140206 DOI: 10.1038/s41467-022-27980-y  0.687
2021 Hausmann SB, Vargas AM, Mathis A, Mathis MW. Measuring and modeling the motor system with machine learning. Current Opinion in Neurobiology. 70: 11-23. PMID 34116423 DOI: 10.1016/j.conb.2021.04.004  0.704
2021 Mouilleau V, Vaslin C, Robert R, Gribaudo S, Nicolas N, Jarrige M, Terray A, Lesueur L, Mathis MW, Croft G, Daynac M, Rouiller-Fabre V, Wichterle H, Ribes V, Martinat C, et al. Dynamic extrinsic pacing of the HOX clock in human axial progenitors controls motor neuron subtype specification. Development (Cambridge, England). 148. PMID 33782043 DOI: 10.1242/dev.194514  0.575
2020 Kane GA, Lopes G, Saunders JL, Mathis A, Mathis MW. Real-time, low-latency closed-loop feedback using markerless posture tracking. Elife. 9. PMID 33289631 DOI: 10.7554/eLife.61909  0.74
2020 Mathis A, Schneider S, Lauer J, Mathis MW. A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives. Neuron. 108: 44-65. PMID 33058765 DOI: 10.1016/j.neuron.2020.09.017  0.7
2019 Mathis MW, Mathis A. Deep learning tools for the measurement of animal behavior in neuroscience. Current Opinion in Neurobiology. 60: 1-11. PMID 31791006 DOI: 10.1016/J.Conb.2019.10.008  0.744
2019 Mathis MW. A new spin on fidgets. Nature Neuroscience. 22: 1614-1616. PMID 31551599 DOI: 10.1038/S41593-019-0504-2  0.316
2019 Nath T, Mathis A, Chen AC, Patel A, Bethge M, Mathis MW. Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols. PMID 31227823 DOI: 10.1038/S41596-019-0176-0  0.768
2018 Mathis A, Mamidanna P, Cury KM, Abe T, Murthy VN, Mathis MW, Bethge M. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience. PMID 30127430 DOI: 10.1038/S41593-018-0209-Y  0.724
2017 Mathis MW, Mathis A, Uchida N. Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice. Neuron. 93: 1493-1503.e6. PMID 28334611 DOI: 10.1016/J.Neuron.2017.02.049  0.726
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