Welcome to ML for Science!

New study Cell Reports🥳 Using recordings & #deepnet driven image synthesis we find an intriguing difference btw🐭&🐒 visual cortex/V1 🐭: complex, non-Gabor like receptive fields 🐒: Gabor-like RFs Team effort🙌Jiakun Fu Andreas Tolias Lab sinzlab & more👇 cell.com/cell-reports/f…

🚨We're hiring Stanford Medicine Stanford University *Postdoc in visual & systems neuroscience* Focus on experiment design (visual stimuli, behavior etc) Join our collaborative effort w/ Katrin Franke Sophia Sanborn Konstantin Willeke Edgar Y. Walker & more Please retweet t.ly/bVdk8

On our blog: How can we improve online learning? We present a new algorithm allowing us to trace the knowledge of learners more accurately and to adapt the learning process to their personalized needs: machinelearningforscience.de/en/knowledge-t… by H. Zhou, Robert Bamler Charley Wu (@thecharleywu.bsky.social), A. Tejero-Cantero

Check out the new release of the `sbi` toolbox! Lots of new features that will make it easier (and more reliable) to perform simulation-based inference!

Deistler et. al, 2024: Gradient descent your biophysically-detailed neuron models and more. Thank you for easing the woes of fine-tuning! Brilliant work. Mad respect. biorxiv.org/content/10.110…

Wow! Now, this is an interesting development! Optimizing the parameters of complex biophysical models with gradient descent. Also, the objective can be to match empirical data or optimize task performance.. and comes with a fast and scalable implementation.. Fantastic work!!

Universität Tübingen and Google DeepMind are accelerating neural network training through an open-source competition. Read more 👉 tuebingen.ai/news/universit… #ScienceNews #AI #AIFuture #OpenSource #Google

Our member Claire Vernade Claire Vernade has received an #ERC Starting Grant! Huge congrats, Claire - so well deserved! Find out more about her "ConSequentIAL" project in Universität Tübingen's press release (scroll down a bit ...): uni-tuebingen.de/en/university/…

The Faculty of Medicine Tübingen is advertising a #W2 #Professor in #Gender #Medicine with a focus on #mental #health great position, apply to join our research hub #female #brain #neuroscience nature.com/naturecareers/…

This is really great work!

We are hiring! If you are interested in working in our lab to perform Patch-seq experiments (a method we developed that combines whole-cell patch-clamp recordings and single-cell RNA sequencing) please apply: careersearch.stanford.edu/jobs/life-scie…

Very excited to share this preprint that's been a massive labor of love and provides a new "middle way" for studying multigenerational processes that compliment the control of a lab experiment 🔬 and the real-world validity of archaeological records🦴! osf.io/preprints/psya…

How can we train biophysical neuron models on data or tasks? We built Jaxley, a differentiable, GPU-based biophysics simulator, which makes this possible even when models have thousands of parameters! Led by Michael Deistler, collab with Philipp Berens Pedro J. Goncalves biorxiv.org/content/10.110…

This is essentially what we wanted to do in Ran et al. (2020) but couldn’t achieve with the tools available back then, and now, with Jaxley, we are getting much closer.

Do you want to train mechanistic neural models to perform tasks? Or do you use tools like NEURON to simulate detailed neuron models, and want easy parallelisation, and/or fit to data? Jaxley (lead by Michael Deistler ) has you covered!

One thing that always bothered me with biophysical neuron model was our inability to properly train them on data… we fixed that. Great work by a PhD student team Michael Deistler Kyra Kadhim Jonas Beck Janne Lappalainen Matthijs Pals

DAAD Scholarship Germany 2025-2026 (Fully Funded) is Announced* Apply now: techstour.com/daad-scholarsh… International Students for **Masters & Ph.D. **ALL Nationality are Eligible All the #Expenses will be Covered by #DAAD.

📢Toller Besuch des Vereins der Freunde der Gemeinnützigen Hertie-Stiftung Demokratie stärken - Hertie-Stiftung am 20. 09. am neuen Hertie AI & dem HIH Universität Tübingen. 👉Spannendes Programm von Philipp Berens & anderen mit Laborführungen und Vorträgen bot faszinierende Einblicke in die 🧠Forschung in Tübingen