behavior, models, & neural data
June 2019: Bloomberg Businessweek Magazine covered work in our lab!
DeepLabCut 2.0 is published in Nature Protocols! Congratulations to Tanmay, Alex, Mackenzie & co-authors. Full python package, GUIs, 3D tools and more: https://www.nature.com/articles/s41596-019-0176-0 Plus, our team got the cover!
Jan 2019: We hosted a DeepLabCut workshop! Scientists from across the US, CAN & UK joined us for a hands-on tutorial on how to use the deep learning toolbox.
Kai Sandbrink (masters student) joins the lab!
Nov 2018: A new preprint on using DeepLabCut is posted, Congrats to Tanmay & Alexander!
Our work on extensions to DeepLabCut was accepted to Cosyne 2019, and Alex’s Team presentation on “deep learning in motor neuroscience” is accepted to NCM 2019!
Sept 2018: Adrian receives his master’s degree! Congrats, Adrian! We wish you the best in Zurich!
August 2018: Our work on building the DeepLabCut toolbox, a deep learning method to perform markerless pose estimation was published in Nature Neuroscience, congrats to Alexander Mathis and co-authors!: rdcu.be/4Rep
NVIDIA Developer Blog highlights DeepLabCut! https://news.developer.nvidia.com/ai-enables-markerless-animal-tracking/
July 2018: Our preprint on DeepLabCut was covered by The Atlantic! We are very happy that Ed Young was able to talk to some of the earlier adopters of DeepLabCut as well. For more information, see our page on DeepLabCut.
Gary Kane, PhD (Postdoctoral fellow) joins the lab!
June 2018: Our first paper from the lab is accepted! Stay tuned!
April 2018: Our first preprint from the lab, in collaboration with Matthias Bethge, is up on arXiv (check out our abstract page)!
Feb/March 2018: Congratulations to Melody Tong on completing her senior thesis! Adrian Hoffmann (masters student) joins the lab!
Jan 2018: Tanmay Nath, PhD (Postdoctoral fellow) joins the lab!
Dec 2017: NVIDIA GPU Grant awarded to the lab! We thank NVIDIA Corporation for supporting our research.
September 1st, 2017: The lab doors are open!