Joined April 2015
58 Photos and videos
Pinned Tweet
This summer I spent time in Alaska doing field work with bears. It was a wonderful experience to learn more about bears and meet our collaborators!!
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Check out our closed-loop model for primate reaching trained with imitation learning. I'm particularly excited about the last figure where we show how M1 can *drive* this controller! biorxiv.org/content/10.64898… Amazing work led by @a_marinvargas.

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Alexander Mathis retweeted
🐻 reID of unmarked Grizzly's in Alaskan wilderness from single images is a daunting task, but in our new work out in @CurrentBiology that is exactly what Beth Rosenberg & Mu Zhou & @TrackingPlumes! 🔥 Check out the work - many years in the making... sciencedirect.com/science/ar…
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Alexander Mathis retweeted
Joint modelling of brain and behaviour dynamics with artificial intelligence — a Review by Mackenzie Weygandt Mathis & Alexander Mathis @TrackingActions @TrackingPlumes nature.com/articles/s41583-0…

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Just in time for tracking my drills over the holidays...
What a year! #DLC3🔥 is up tested by many of you (👀 watch out for a paper in 2025), we hit 750K downloads, and have over 120 contributors to the code! ❄️⛷just dropped: new human pose models & high perf. models! github.com/DeepLabCut/DeepLa… #DigvijaySinghRathee HAPPY HOLIDAYS!
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Alexander Mathis retweeted
What a year! #DLC3🔥 is up tested by many of you (👀 watch out for a paper in 2025), we hit 750K downloads, and have over 120 contributors to the code! ❄️⛷just dropped: new human pose models & high perf. models! github.com/DeepLabCut/DeepLa… #DigvijaySinghRathee HAPPY HOLIDAYS!
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Alexander Mathis retweeted
🌟 Join the 2nd Lemanic Life Sciences Hackathon! 🌟 Are you a clinician with questions data could answer? A life scientist with datasets that could spark discoveries? Submit your project by Dec 30, 2024! Info: epfl.ch/schools/sv/lemanic-l… @TrackingPlumes @EPFL_AI_Center @RLuisier
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Alexander Mathis retweeted
Here's our latest issue: cell.com/neuron/current The cover is for @TrackingPlumes & coll.'s work on a novel learning algorithm for skilled motor control learning, that you can read in full here cell.com/neuron/fulltext/S08…, or in a Preview by @ScottLIMBlab cell.com/neuron/abstract/S08…
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I'm humbled to receive this award with @SuseWegener and @TrackingActions - thanks to all my students, collaborators and former supervisors that made this possible! Let's keep pushing to better quantify behavior for health and beyond!
🥳🍾Alexander Mathis @TrackingPlumes and Mackenzie Mathis @TrackingActions the 2024 Robert Bing Prize, with Susanne Wegener @SuseWegener 🏆 actu.epfl.ch/news/mackenzie-…
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Alexander Mathis retweeted
🚀 DLC AI Residents call for 2025! This year, we are doing something a little different to support even more underrepresented individuals 🥰 We are having in-person workshops again 🙌, & we are taking the 2025 AI Residency on the Road! 🛤️ App open now! deeplabcutairesidency.org/
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Alexander Mathis retweeted
Earlier this year we got a new lab logo -- it illustrates the core questions we are interested in. Measuring behavior, and linking it to the brain and body with a particular interest in muscles as well muscle spindles. We focus on proprioception, motor control & skill learning.
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Alexander Mathis retweeted
✨🥰 check out our article - and cover 🤩- about Decoding the Brain in @CellCellPress cell.com/cell/fulltext/S0092… We review the mathematics, current approaches, and muse about the future… #BCI #neuraldecoding #neuroAI Thanks to my awesome co-authors Adriana Perez Rotondo, Edward Chang, @AToliasLab & @TrackingPlumes
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Alexander Mathis retweeted
But is it physics? Hopfield tackled three profound questions about emergence: condensed matter from interactions between elementary particles, the magic of life from interactions between dead molecules, and intelligence/consciousness from interactions between dumb neurons.
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Truly foundational!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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Alexander Mathis retweeted
I'm thrilled to present our paper "Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders" at #ECCV24! 🎉 We focus on self-supervised learning for action segmentation to uncover the hierarchical structure of behavior. Paper: ecva.net/papers/eccv_2024/pa… 👇🧵

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Alexander Mathis retweeted
A historic milestone for neuroscience! It's been a fantastic journey for the #FlyWire Consortium. This special edition of Nature showcases the power of open science, with nine papers that not only describe the fly connectome, but also make discoveries using it.
2 Oct 2024
Big news! The fly connectome is featured on the cover of a special edition of Nature. This is all possible thanks to the collaboration of 292 members of The FlyWire Consortium! nature.com/immersive/d42859-… Check out the thread for an overview of the 9 #flywire papers published today
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Check out our work on the unsupervised discovery of hierarchical behavior from motion capture data at #ECCV24 this afternoon!
I'm thrilled to present our paper "Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders" at #ECCV24! 🎉 We focus on self-supervised learning for action segmentation to uncover the hierarchical structure of behavior. Paper: ecva.net/papers/eccv_2024/pa… 👇🧵
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How does the brain control the numerous muscles of the body? Let's say you want to rotate two balls in your hand, how does your brain achieve that? Read our article in @NeuroCellPress to learn more! cell.com/neuron/fulltext/S08…
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Fun fact, we also won the #MyoChallenge at @NeurIPSConf in 2023, also using curriculum learning & Lattice: proceedings.neurips.cc/paper…

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The 2024 edition is ongoing, so feel free to join the competition.... x.com/MyoSuite/status/183822… We'll sit this one out, ;)

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🚨#MyoChallenge Submissions are LIVE MyoChallengers, you can now register your team on evalAI and submit your best solution and start competing against worldwide teams 🌏 More info ➡️ eval.ai/web/challenges/chall… May the best teams win 🏅
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