🧠 Can we recover the equations governing a system directly from noisy, high-dimensional observations?
#DYSCO, by Paolo Muratore, is a first step: it learns latent spaces that capture the underlying dynamics & enables recovery of governing equations
📄arxiv.org/abs/2606.13260
⚠️PREPRINT ALERT⚠️
How can we better understand distributed brain activity across temporal and spatial scales?
In this collaborative project, we combined ultra-flexible electrodes with two-photon imaging to illuminate brain-wide neural dynamics.
doi.org/10.21203/rs.3.rs-102…
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🎂🥳 Wow! Happy 9 year anniversary of being published in @NatureNeuro#DeepLabCut 💜 - what an amazing adventure that first paper kicked off 🙏🏼 1.14M installations 💪
Original paper: rdcu.be/4Rep
Confused about all this talk of compositionality in neuroscience? Read our new perspective nature.com/articles/s41593-0… with authors Reidar Riveland and @pouget_alex.
🧠 Can we recover the equations governing a system directly from noisy, high-dimensional observations?
#DYSCO, by Paolo Muratore, is a first step: it learns latent spaces that capture the underlying dynamics & enables recovery of governing equations
📄arxiv.org/abs/2606.13260
#OnThisDay in 2016, we launched the Allen Brain Observatory with the first standardized in vivo survey of physiological activity in the mouse visual cortex. Since its launch, the Observatory and its data has been critical to visual cortex research around the world.
🥳 New work from my lab (@MLabofAI) just dropped on @arxiv! Measuring the shape of an animal can be highly useful for biomedical applications and for avatars 😎
We introduce *PRIMA*:🔥SOTA 2D➡️3D animal shape by @xiaoyu912huang, @TiwangCS & I!
📝 arxiv.org/abs/2606.02366
This nicely builds on top of our #SuperAnimal quadruped model (read more here: nature.com/articles/s41467-0… such that you can directly run shape inference with our pipeline!
Thrilled to share that I’ve been promoted to Associate Professor with tenure at @EPFL! 🎉 Deeply grateful to my incredible lab, collaborators, and mentors who’ve made this journey possible. Excited for what’s ahead! 🧠✨
At #ICLR2026 Please check out our work #LlaVAction:
By co-first aurhors @shaokaiyeah and Haozhe Qi
TL;DR the first multi-modal LLM for action understanding and video captioning+ a new benchmark, + methods to train your MMLLMs for such tasks 🕺🏻💃🏼
💻 llavaction.epfl.ch
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From the neuroscience perspective, behavior is unmatched as noninvasive quantitative readout of brain function (and best of all, it is a readout that matters). This initial lifelong continuous screen of behaving vertebrates provided a wealth of new ideas regarding progression and staging of brain function across the adult lifespan. Truly impressive work from Claire, Ravi, and the whole creative and dedicated team. Lifelong work takes a long time, even with killifish!
💉 Finding clinical trials & knowing which are useful is an overwhelming task, even if you know where to start!
I worked on a simple @Gradio app for parsing clinical trials+ adding a #DeepSeek model to rank trials + user Q&A. I hope its useful to many:
clinicaltrialmatcher.org