Sebastien Hausmann, PhD

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Sebastien Hausmann, PhD

Sebastien Hausmann, PhD

@SebHausmann

Neuroscience PhD @mwmathislab @EPFL_en | M.S. in Tye Lab @salkinstitute | @EPFL_en Neuroengineering alumnus

Lausanne, Switzerland เข้าร่วม Nisan 2019
192 กำลังติดตาม241 ผู้ติดตาม
Sebastien Hausmann, PhD รีทวีตแล้ว
Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
🥰 Self-supervised, label-free 3D cell imaging is here actu.epfl.ch/news/self-supe… #epfl #elife Congrats to @AChRD4 on this very cool first, first author publication 🏆! This started when he was a bachelor's student (and he's now completing his masters!). And many thanks to my other awesome co-authors: @TheVetFuturist @vmaxmc2 @CYHSM Yves Paychere Colin Hofmann @itsasimiqbal @SebHausmann and @stephane_pages! 🙏 elifesciences.org/articles/99848
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Sebastien Hausmann, PhD รีทวีตแล้ว
Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
🥳Alrighty - end-of-year push to get the final version of #CellSeg3D out! 👩‍💻 pip install napari-cellseg3d==0.2.2 📚 biorxiv.org/content/10.110… We extended benchmarking, new videos, extended text, and a demo on cFOS 👋
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Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
👏 Many congratulations to @SebHausmann who successfully passed his PhD private defense today! A huge milestone for him (and the lab @mwmathislab) 🍾💙🍾💙 So proud of all your hard work & excellent contributions! 🎮🐭
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Sebastien Hausmann, PhD รีทวีตแล้ว
Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
Job alert 🚨: I’m looking for a creative, ambitious, and dedicated postdoc to join me on this quest; so many exciting questions about how cortex and sub cortical structures (including spinal cord) drive adaptive motor control. Large scale 2P (limited labs 🌎 have this tech), plus we have large scale Neuropixels tech (8 probes anyone?)… plus my lab has excellent computational students/postdocs and we work as a team 💪🚀 Please email me (CV & cover letter including why the line of work the paper outlines is a good fit with you profile).
Mackenzie Weygandt Mathis, PhD@TrackingActions

How does sensorimotor (S1/M1) cortex support adaptive motor control?  Come find out in our latest preprint, which spans the development of a full adult forelimb model + physics simulations, neural-modeling for control, complex 🐭behavior 🕹️, large-scale imaging, and of course @DeepLabCut and @CEBRA!  We hypothesized that S1 supports motor learning by computing prediction errors. To tackle this, we needed to understand what is being represented, and no studies have reported what forelimb S1 represents during learning in mice🧠🐭. Moreover, this requires modeling the body🦾: kinematics, torques, force, muscle activations, & proprioception (muscle spindles & GTOs).  After our 7 year journey, we have an answer: S1 & M1 represent muscle-level features. During learning, computational motifs map to functional types (like muscle-encoding), and neural dynamics in S1 change & encode sensorimotor prediction errors!  biorxiv.org/content/10.110… 🧵👇

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Sebastien Hausmann, PhD รีทวีตแล้ว
DeepLabCut 🦄
DeepLabCut 🦄@DeepLabCut·
🚀 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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Sebastien Hausmann, PhD รีทวีตแล้ว
Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
How does sensorimotor (S1/M1) cortex support adaptive motor control?  Come find out in our latest preprint, which spans the development of a full adult forelimb model + physics simulations, neural-modeling for control, complex 🐭behavior 🕹️, large-scale imaging, and of course @DeepLabCut and @CEBRA!  We hypothesized that S1 supports motor learning by computing prediction errors. To tackle this, we needed to understand what is being represented, and no studies have reported what forelimb S1 represents during learning in mice🧠🐭. Moreover, this requires modeling the body🦾: kinematics, torques, force, muscle activations, & proprioception (muscle spindles & GTOs).  After our 7 year journey, we have an answer: S1 & M1 represent muscle-level features. During learning, computational motifs map to functional types (like muscle-encoding), and neural dynamics in S1 change & encode sensorimotor prediction errors!  biorxiv.org/content/10.110… 🧵👇
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Sebastien Hausmann, PhD รีทวีตแล้ว
Lucas Stoffl
Lucas Stoffl@LStoffl·
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_20… 👇🧵
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Sebastien Hausmann, PhD รีทวีตแล้ว
Shaokai Ye
Shaokai Ye@shaokaiyeah·
We are releasing AmadeusGPT-0.1.3! Many use cases to demonstrate its capability. We also have invited DLC residents ( @StuckertAnna , @mrc_canela, @dikra_masrour to share their use cases. Seamless integration with #SuperAnimal and GPT-4o
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Mackenzie Weygandt Mathis, PhD@TrackingActions

🔮Ever wished you could just say what behavioral analysis you wanted? ... "Plot the animal's trajectory" "Count the head hips in the open arm" 👀🪄we present AmadeusGPT🎻 to do this ... 🗞@shaokaiyeah @jessy_lauer @zhoumu53 @trackingplumes and me  arxiv.org/abs/2307.04858 🧵⬇️

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Sebastien Hausmann, PhD รีทวีตแล้ว
Shaokai Ye
Shaokai Ye@shaokaiyeah·
I am thrilled to share that our paper "SuperAnimal pretrained pose estimation models for behavioral analysis" has just been published at Nature Communications! @mwmathislab nature.com/articles/s4146…. More details about our animal pose foundation models:
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Sebastien Hausmann, PhD รีทวีตแล้ว
M- Lab of Adaptive Intelligence @EPFL
M- Lab of Adaptive Intelligence @EPFL@mwmathislab·
Proud to have our lab’s work on the home page of @EPFL! @Brainmind_EPFL @epflSV 🥳 #SuperAnimal 🐕🦴🐾@DeepLabCut nature.com/articles/s4146…
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EPFL@EPFL_en

A new technology developed at EPFL makes it possible for a single deep learning model to detect animal motion across many species and environments. This “foundational model” can be used for animal conservation, biomedicine, and neuroscience research. actu.epfl.ch/news/unifying-…

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Sebastien Hausmann, PhD รีทวีตแล้ว
Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
🎉 new preprint posted of potential interest, lead by talented masters student @AChRD4: 🔥fully unsupervised 3D cell segmentation that is as good (or better) than leading supervised methods, with @napari_imaging integration! 👏 biorxiv.org/content/10.110… ➕new 3D GT dataset ⬇️🧵
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M- Lab of Adaptive Intelligence @EPFL@mwmathislab

Have you tried #CellSeg3D yet for automating your 3D lightsheet microscopy analysis? We just hit >75K pip installations! 🥳 We have some 🔥 coming soon ... but in the meantime, github.com/AdaptiveMotorC… lead by @AChRD4 @Neuro_X_EPFL

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Alessandro Marin Vargas
Alessandro Marin Vargas@a_marinvargas·
𝗙𝗶𝗻𝗮𝗹𝗹𝘆 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗶𝗻 @CellCellPress ! How does the brain processes proprioceptive information?🧠 We use a task-driven modeling approach by combining biomechanics 🦾 and neural network modeling💻 to investigate different hypotheses. 1/N cell.com/cell/pdf/S0092…
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ค้นพบ

@AChRD4 @TheVetFuturist @vmaxmc2 @CYHSM @itsasimiqbal @stephane_pages @TrackingActions @mwmathislab