Our publications fall into three groupings: Neuroscience, NeuroAI, and Computer Vision.
To see our work arranged according to our focus areas, please click here.
Below you will find lab publications in chronological order (bold names are lab members). To see embedded Altmetric content, you might need to refresh the page.
Identifiable attribution maps using regularized contrastive learning. NeurIPS 2023 Workshop: Self-Supervised Learning–Theory and Practice
Steffen Schneider, Rodrigo González Laiz, Markus Frey, Mackenzie W Mathis
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
Mu Zhou*, Lucas Stoffl*, Mackenzie W. Mathis, Alexander Mathis
Kai J. Sandbrink, Pranav Mamidanna, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis*, Alexander Mathis*
Pproject page: https://www.mathislab.org/deepdraw
Steffen Schneider, Jin Hwa Lee & Mackenzie Weygandt Mathis
Nature volume 617, pages360–368 (2023)
Brain dynamics uncovered using a machine-learning algorithm Nature Research Briefing, 2023
NeuroAI: If grid cells are the answer, is path integration the question? Current Biology, 2023
Dispatch Article for Sorscher et al 2023 Neuron
Markus Frey, Mackenzie W. Mathis, Alexander Mathis
Preview article for Yang et al. 2023 Cell
Thomas T.J. Sainsbury, Mackenzie W. Mathis
The neocortical column as a universal template for perception and world-model learning.
Nature Reviews Neuroscience, 2023
Next-generation brain observatories.
Neuron, 2022
Christof Koch, Karel Svoboda,* Amy Bernard, Michele A. Basso, Anne K. Churchland, Adrienne L. Fairhall, Peter A. Groblewski, Jerome A. Lecoq, Zachary F. Mainen, Mackenzie W. Mathis, Shawn R. Olsen, John w. Phillips, Alexandre Pouget, Shreya Saxena, Josh H. Siegle, and Anthony M. Zador
Korleki Akiti, Iku Tsutsui-Kimura, Yudi Xie, Alexander Mathis, Jeffrey Markowitz, Rockwell Anyoha, Sandeep Robert Datta, Mackenzie Weygandt Mathis, Naoshige Uchida, Mitsuko Watabe-Uchida.
Multi-animal pose estimation, identification and tracking with DeepLabCut.
Nature Methods, 2022
Jessy Lauer, Mu Zhou, Shaokai Ye, William Menegas, Steffen Schneider, Tanmay Nath, Mohammed Mostafizur Rahman, Valentina Di Santo, Daniel Soberanes, Guoping Feng, Venkatesh N. Murthy, George Lauder, Catherine Dulac, Mackenzie Weygandt Mathis* & Alexander Mathis*
Perspectives in machine learning for wildlife conservation.
Nature Communications, 2022
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart & Tanya Berger-Wolf
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild.
IEEE International Conference on Robotics and Automation (ICRA) 2021 (arxiv)
Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis & Amir Patel.
Measuring and modeling the motor system with machine learning.
Current Opinion in Neurobiology, 2021
Sebastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis
Out-of-distribution generalization of internal models is correlated with reward.
SSL-RL Workshop at ICLR 2021
Khushdeep S. Mann∗, Steffen Schneider∗, Alberto Chiappa, Jin H. Lee, Matthias Bethge, Alexander Mathis, Mackenzie W. Mathis
Motor control: Neural correlates of optimal feedback control theory.
Current Biology 2021
Mackenzie W. Mathis, Steffen Schneider.
Dispatch Review Paper on: Transient deactivation of dorsal premotor cortex or parietal area 5 impairs feedback control of the limb in macaques
Vincent Mouilleau, Célia Vaslin, Rémi Robert, Simona Gribaudo, Nour Nicolas, Margot Jarrige, Angélique Terray, Léa Lesueur, Mackenzie W. Mathis, Gist Croft, Mathieu Daynac, Virginie Rouiller-Fabre, Hynek Wichterle, Vanessa Ribes, Cécile Martinat, Stéphane Nedelec.
Alexander Mathis*, Thomas Biasi*, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis.
Also presented at the ICML 2020 Uncertainty & Robustness in Deep Learning Workshop.
- Watch Thomas Biasi give a talk at WACV!
- More details: horse10.deeplabcut.org
Gary Kane, Gonçalo Lopes, Jonny L. Saunders, Alexander Mathis, Mackenzie W. Mathis.
Read more in the news!
Listen to an interview (french only)
Watch Gary Kane speak at NeuroMatch!
Steffen Schneider, Shubham Krishna, Luisa Eck, Wieland Brendel, Mackenzie W Mathis, Matthias Bethge.
- Selected Oral: Watch Steffen Schneider give a talk at NeurIPS workshop!
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W Mathis
Deep learning tools for the measurement of animal behavior in neuroscience.
Current Opinion in Neurobiology, 2020
Mackenzie W. Mathis & Alexander Mathis.
A new spin on fidgets.
Nature Neuroscience, 2019
New & Views on: Single-trial neural dynamics are dominated by richly varied movements
Mackenzie W. Mathis.
Using DeepLabCut for 3D markerless pose estimation across species and behaviors.
Nature Protocols, 2019
Tanmay Nath*, Alexander Mathis*, An Chi Chen, Amir Patel, Matthias Bethge, and Mackenzie W. Mathis. *co-first authors
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Nature Neuroscience, 2018
Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, Mackenzie W Mathis* & Matthias Bethge* ; *co-senior authors
Read more in the Harvard Gazette, NVIDIA Developer News or The Atlantic
Commentary: Behavior Tracking Cuts Deep [Lab Animal], Behavior Tracking Gets Real [Nature Neuroscience].
-Project Page: www.deeplabcut.org
Work Completed Prior to Lab Opening By MW Mathis:
