New to Eyewire and want to get started? Check out our website for ⚒️ Tools - eyewire.ai/tools - from command line tools to interactive data explorers 🦠 Cells - eyewire.ai/cells - direct links to all cells identified so far 🧭 Guides - eyewire.ai/guides - tutorials for a smooth start

Meet Eyewire II: a new connectomic resource for the mouse retina. ~1 mm² of retina at nanometer resolution, with synapses and circuits of ca. 100,000 neurons, plus visual responses from the ~400 neurons shown in the video! Preprint: doi.org/10.64898/202... Data: eyewire.ai 🧠📈 🧠💻🧪 #VisionScience

Cluster speaker @philipp.hertie.ai & @teuler.bsky.social have been awarded the RPB Transformational Team Science Award for their project #Eyewire II! The project aims to create the first complete wiring diagram of the mouse retina, known as a connectome. (1/2)

Our cluster speaker @philipp.hertie.ai is featured on FAZ's podcast about AI! In it, he discusses the usage of #AI in the medical field, whether it can predict the progression of diseases & how it can help improve healthcare systems across the world. www.faz.net/podcasts/f-a...

🚨 We're hiring: Research Coordinator for CRC Robust Vision @unituebingen.bsky.social Take a leading role in our DFG funded consortium in neuroscience, ML & CV MSc/PhD + science mgmt. Apply by Mar 15 👇 join our team w/ @jakhmack.bsky.social @bethgelab.bsky.social uni-tuebingen.de/en/universit...

A cat invited itself to our team building workshop at work. It certainly helped.

Excited to share that our paper got accepted @NeurIPS! 🎉 We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data. 📊 2D visualizations revealing biological patterns 🔍 Automatic artifact detection 🔬 Works for calcium imaging & electrophysiology data

Excited to present at #NeurIPS this week on my work building biophysical models of the outer retina! If you’re around come check it out or just say hi, poster #2015, Friday 11-2🎉 You can find the full paper here: openreview.net/forum?id=ayj... In brief🧵:

Retina model with Jaxley poster #2015: Friday 5 Dec 11:00am at San Diego ➡️ openreview.net/forum?id=ayj... 7/11

Third, in collaboration with @kyrakadhim.bsky.social, @philipp.hertie.ai, and others, we built a task- and data-constrained biophysical network of the outer plexiform layer of the mouse retina. To optimize this model, we built it on top of our Jaxley toolbox for differentiable simulation. 6/11

On our blog: For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. #JAXLEY, a new AI tool, opens possibilities to build brain simulations that overcome both limitations: www.machinelearningforscience.de/en/jaxley-ai... #AIforScience

Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI. 📄 Paper: arxiv.org/abs/2508.12939

TBH, I don't have much to post from work, so to fill the void I'll just share photos of cats I meet in Tübingen from time to time.

🎓 We're hiring two PhD students in #MachineLearning for my new group at the Hertie Institute for AI in Brain Health, University of Tübingen! Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment. 👇 Details below

Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41...