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

Joined April 2019
2 Photos and videos
Sebastien Hausmann, PhD retweeted
🥰 Self-supervised, label-free 3D cell imaging is here actu.epfl.ch/news/self-super… #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/9…
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Sebastien Hausmann, PhD retweeted
🥳Alrighty - end-of-year push to get the final version of #CellSeg3D out! 👩‍💻 pip install napari-cellseg3d==0.2.2 📚 biorxiv.org/content/10.1101/… We extended benchmarking, new videos, extended text, and a demo on cFOS 👋
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Sebastien Hausmann, PhD retweeted
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).
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/10.1101/… 🧵👇
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Sebastien Hausmann, PhD 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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Sebastien Hausmann, PhD 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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Sebastien Hausmann, PhD retweeted
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/10.1101/… 🧵👇
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Sebastien Hausmann, PhD retweeted
1 Oct 2024
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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Sebastien Hausmann, PhD retweeted
#CellSeg3D hits 85K downloads, and we’ve updated our preprint to add a few more key details and added new demo videos 🎥! Check out the demos from @AChRD4 and @SebHausmann 🔥 youtu.be/3UOvvpKxEAo?feature… m.youtube.com/watch?v=U2a9Ib… biorxiv.org/content/10.1101/…
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Sebastien Hausmann, PhD retweeted
Mackenzie Mathis is the winner of the prestigious Swiss Science Prize #Latsis 2024. It rewards her #research into the neural bases of our learning behaviour. sohub.io/w1mz 📷 Daniel Rihs (images 1 and 4), Mackenzie Mathis Lab (images 2 and 3) @TrackingActions
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Sebastien Hausmann, PhD retweeted
13 Aug 2024
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
🔮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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Come checkout our posters this Saturday!
#FENS2024 is starting tomorrow in Vienna 🇦🇹! Check out where to find us ⬇️ 💜As a SuperGroup - @mwmathislab @amathislab - we have 12 posters 🎉 and our joint Kandel Prize Lecture (come cheer us on! 🤩😱)
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Sebastien Hausmann, PhD retweeted
21 Jun 2024
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/s41467-0…. More details about our animal pose foundation models:
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Sebastien Hausmann, PhD retweeted
Proud to have our lab’s work on the home page of @EPFL! @Brainmind_EPFL @epflSV 🥳 #SuperAnimal 🐕🦴🐾@DeepLabCut nature.com/articles/s41467-0…
21 Jun 2024
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-b…
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Sebastien Hausmann, PhD retweeted
🔥 SuperAnimal: Foundation pose models for animals, trained on over 80K images, our model(s) can be used in the lab or the wild 🐭🐆🐄 💜models are available within @DeepLabCut & @huggingface w/extensive model/datacards 📰actu.epfl.ch/news/unifying-b… 📄nature.com/articles/s41467-0…
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Sebastien Hausmann, PhD retweeted
🎉 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/10.1101/… ➕new 3D GT dataset ⬇️🧵
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/AdaptiveMotorCont… lead by @AChRD4 @Neuro_X_EPFL
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Sebastien Hausmann, PhD retweeted
What might the future of precision medicine and mental health bring? With a stellar team - @MonosovLab @_janzimmermann_ @LnccBrown and @JustinBakerMD - we discuss the opportunities & challenges of comparative neuro, biomarkers, long term dynamics, & AI: authors.elsevier.com/sd/arti…
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Sebastien Hausmann, PhD retweeted
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/S0092-8674…
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Sebastien Hausmann, PhD retweeted
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/AdaptiveMotorCont… lead by @AChRD4 @Neuro_X_EPFL
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Sebastien Hausmann, PhD retweeted
🔮Big news! 🚀 #amadeusGPT is fully released and open-sourced on github, including the amazing streamlit app FOR USE ON YOUR OWN DATA! Apache 2.0 🥰🚀 Big thanks to @shaokaiyeah and co-authors 🥰 Stars ⭐️ appreciated 🎁⬇️ github.com/AdaptiveMotorCont… #NeurIPS2023 #rockmeamadeus
🔮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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