Alexander Mathis
Affiliations: | Harvard University, Cambridge, MA, United States |
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Parents
Sign in to add mentor| Andreas V. Herz | grad student | ||
| Matthias Bethge | post-doc | ||
| Venkatesh N. Murthy | post-doc |
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Publications
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| Sandbrink KJ, Mamidanna P, Michaelis C, et al. (2023) Contrasting action and posture coding with hierarchical deep neural network models of proprioception. Elife. 12 |
| Weinreb C, Osman MAM, Zhang L, et al. (2023) Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Biorxiv : the Preprint Server For Biology |
| Frey M, Mathis MW, Mathis A. (2023) NeuroAI: If grid cells are the answer, is path integration the question? Current Biology : Cb. 33: R190-R192 |
| Akiti K, Tsutsui-Kimura I, Xie Y, et al. (2022) Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction. Neuron |
| Lauer J, Zhou M, Ye S, et al. (2022) Multi-animal pose estimation, identification and tracking with DeepLabCut. Nature Methods. 19: 496-504 |
| Tuia D, Kellenberger B, Beery S, et al. (2022) Perspectives in machine learning for wildlife conservation. Nature Communications. 13: 792 |
| Hausmann SB, Vargas AM, Mathis A, et al. (2021) Measuring and modeling the motor system with machine learning. Current Opinion in Neurobiology. 70: 11-23 |
| Kane GA, Lopes G, Saunders JL, et al. (2020) Real-time, low-latency closed-loop feedback using markerless posture tracking. Elife. 9 |
| Mathis A, Schneider S, Lauer J, et al. (2020) A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives. Neuron. 108: 44-65 |
| Mathis MW, Mathis A. (2019) Deep learning tools for the measurement of animal behavior in neuroscience. Current Opinion in Neurobiology. 60: 1-11 |