🥰 Self-supervised, label-free 3D cell imaging is here https://t.co/mbU5TvLy2g #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! 🙏
https://t.co/PyUnTGFJHh
🥳Alrighty - end-of-year push to get the final version of #CellSeg3D out!
👩💻 pip install napari-cellseg3d==0.2.2
📚 https://t.co/hlDa0iSlpN
We extended benchmarking, new videos, extended text, and a demo on cFOS 👋
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).
🚀 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!
https://t.co/n6rDHxB8de
✨🥰 check out our article - and cover 🤩- about Decoding the Brain in @CellCellPress
https://t.co/HWBquErj0f
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
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!
https://t.co/IbVeQz3718
🧵👇
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: https://t.co/N4UBgbpqwY
👇🧵
#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 🔥
https://t.co/bErlPNrB8e
https://t.co/RRSLiPTITF
https://t.co/P12USdgQ9S
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. https://t.co/qL7p2rGIm3
📷 Daniel Rihs (images 1 and 4), Mackenzie Mathis Lab (images 2 and 3)
@TrackingActions
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
#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! 🤩😱)
I am thrilled to share that our paper "SuperAnimal pretrained pose estimation models for behavioral analysis" has just been published at Nature Communications! @mwmathislab https://t.co/QbbZKPqlK5. More details about our animal pose foundation models:
🔥 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
📰https://t.co/alReOIrpw0
📄https://t.co/N7UJj8szm4
🎉 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! 👏
https://t.co/ekFfgxcm46
➕new 3D GT dataset ⬇️🧵
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:
https://t.co/dElahyeT9r
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
https://t.co/sw74g6uIM6