500 days of summer, probably more days of work that @alanadarcher.bsky.social and others put into this-- a big data-set of over 2k single-unit recordings in 29 patients all watching the same movie, collected in the lab of Florian Mormann @humansingleneuron.bsky.social!

Alana Darcher@alanadarcher.bsky.social · 6d ago

🎉 *extremely* excited to share our human single neuron + movie dataset is out in #ScientificData! 📄 Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients 🔗https://www.nature.com/articles/s41597-026-07955-0 1st public dataset from @humansingleneuron.bsky.social!🧵

We are excited to announce up to 3 PhD positions in a new project on using ML for "Extracting Probabilistic Representations in Exponential Quantum Spaces" (EXPRESSO) with @philipphennig.bsky.social , @mariokrenn.bsky.social, Igor Lesanovsky, @gmartius.bsky.social in the @ml4science.bsky.social.

Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.

Neural timescales from a computational perspective - Nature Neuroscience

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

nature.com

ModelSMC: we frame LLM-based scientific model discovery as Bayesian inference. Sequential Monte Carlo over executable model structures, with the LLM as a probabilistic proposal mechanism. 📍 Wed Jul 8, at 2:30–4:15 PM KST in Hall A #3512 📄 arxiv.org/abs/2602.18266 🧵 bsky.app/profile/mack...

Machine Learning in Science@mackelab.bsky.social · last mo.

New paper: We recast automated scientific model discovery with LLMs as Bayesian inference! LLMs write code and carry domain knowledge, great for proposing models. The key idea: discovery is inference, not just generation. What distribution of models explains the data? 🧵 arxiv.org/abs/2602.18266

Happy to have joined the ELLIS Institute! Excited to be working with the PIs at the Institute and the ELLIS network more broadly!

ELLIS Institute Tübingen@ellisinsttue.bsky.social · last mo.

Big news from the Tübingen machine learning community 🚀 We are excited to welcome Prof. Jakob Macke as new Principal Investigator of the ELLIS Institute Tübingen. Jakob is a central figure in the Tübingen ML ecosystem. Read more: institute-tue.ellis.eu/en/news/prof... @tuebingen-ai.bsky.social

We congratulate @matthijspals.bsky.social on his successful PhD defense! During his time in the Mackelab, he used RNNs to link neural activity with underlying mechanisms. Now he moved on to a Postdoc position in @durstewitzlab.bsky.social at the ZI Mannheim and the University of Heidelberg.

New paper: We recast automated scientific model discovery with LLMs as Bayesian inference! LLMs write code and carry domain knowledge, great for proposing models. The key idea: discovery is inference, not just generation. What distribution of models explains the data? 🧵 arxiv.org/abs/2602.18266

We are recruiting several Early Career Research Group Leaders for Machine Learning in Science (m/f/d; E14 TV-L, 100%) in Tübingen! Open to researchers directly after their PhD or with postdoctoral experience. Application deadline: July 15, 2026. More info: uni-tuebingen.de/en/128980#c2... 1/2

Great opportunity: The Leibniz Institute for Neurobiology @linmd.bsky.social + University @uni-magdeburg.de Magdeburg are hiring a Full Professor/Research Group Head in Integrative Neurobiology, especially computation, theory neurotech! Apply by 29 May 2026 ncloud.lin-magdeburg.de/s/cnSj2Ys5YE...

Ausschreibung W3 Integrative Neurobiology E.pdf

LIN-Nextcloud v2.0 - Datenaustausch leicht gemacht

ncloud.lin-magdeburg.de

For its 50th birthday*, MLSS is back in Tübingen— come to beautiful Tübingen to learn about ML from great speakers, and, most importantly, meet lots of other students and researchers!!!

Annalena Kofler@annalenakofler.bsky.social · 3mo ago

🎉 Applications are open for MLSS 2026 — the 50th edition of the Machine Learning Summer School! Join us in Tübingen for world-class lectures, hands-on sessions, and an amazing ML community. 🧠 Apply now 👉 mlss2026.is.tuebingen.mpg.de #MLSS2026 #MachineLearning #SummerSchool #ML

zenodo.org/records/1969...

We're excited to welcome our 2026 AIMS Fellows: Ndim Handson Nsani, Arlette Musanabera, Vongai Mitchell Makuwaza, Dzodzoenyenye Senanou and Benedict Ositadinma Ejelonu have recently arrived in Tübingen and started their nine-month research visit. We wish them a productive and rewarding stay!

sbi v.0.26.1 is out 🎉. We initially planned this release for January, but then the Grenoble Hackathon and GSoC applications happened. Now we have three new methods, better neural nets, cleaner internals, better docs, and 9 new contributors 🤗. Highlights below 🧵

We’re launching a new AI Methods & Software Hub in the ML cluster and are looking for a Director to build and lead it! Shape how ML/AI and software drive scientific discovery—in close collaboration with AI and domain scientists—within an extremely vibrant and collaborative ecosystem!

ML for Science@ml4science.bsky.social · 4mo ago

We're hiring a Scientific Director for our AI Methods & Software Hub in Tübingen! This is a unique opportunity to build and lead a central hub at the intersection of cutting-edge ML research and scientific applications. Deadline: 30 April 2026. More info: uni-tuebingen.de/en/128980#c2...

🧵 New preprint led by @bingbrunton.bsky.social, @elliottabe.bsky.social, @lawrencehu.bsky.social We gave a worm brain control of a fly body and it walked What did we learn? Nothing, other than deep reinforcement learning is effective We call it the digital sphinx www.biorxiv.org/content/10.6...

How academic are different cities in Germany? The one definite ranking. #exinit @unituebingen.bsky.social

🚨 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...

Hiring now! 📢 The CRC 1233 Robust Vision consortium at @unituebingen.bsky.social is looking for a Research Coordinator to lead science management, support project execution, and help steer our interdisciplinary research in neuroscience, machine learning and computer vision.

A special year for the Cajal Course in Computational Neuroscience: the BRAIN Prize winners Haim Sompolinsky and Larry Abbott will join us as keynote speakers. And we will bring you the same great roster of instructors as every year. Applications are now open! cajal-training.org/on-site/comp...

The Brain Prize Course - Computational and Theoretical Neuroscience - CAJAL

[…]

cajal-training.org

SBI Hackathon Grenoble is a wrap! 🎉 35 researchers and a great hybrid format of 1.5 days of tutorials + 1.5 days of applied hackathon. Many went from “having heard of sbi” to applying full SBI workflows to their own research projects. 🧵👇

Happy 2026 everyone! Two freshly minted PhDs 🧑‍🎓emerged from our lab at the end of last year. We congratulate Dr Julius Vetter (@vetterj.bsky.social) and Dr Guy Moss (@gmoss13.bsky.social)! Here seen celebrating with the lab 🎳. 1/3

📢We’re hiring: W3-Professorship in Machine Learning in Physics @unituebingen.bsky.social! What we’re looking for: Established research profile in a core area of #physics (condensedmatter, quantum or theoretical particle physics), strong track record in research questions related to #ML and/or #AI.

Congrats to all the ERC COG recipients, of course especially to the 5 from @unituebingen.bsky.social, and even more so to the @ml4science.bsky.social members @tobiasuhauser.bsky.social and @andreasgeiger.bsky.social (AI assistants!)!!! erc.europa.eu/system/files...

Come work with us!!!

Machine Learning in Science@mackelab.bsky.social · 8mo ago

We are looking for a Research Engineer (E13 TV-L) to work at the intersection of #ML and #compneuro! 🤖🧠 Help us build large-scale bio-inspired neural networks, write high-quality research code, and contribute to open-source tools like jaxley, sbi, and flyvis 🪰. More info: www.mackelab.org/jobs/

Finally got the job ad—looking for 2 PhD students to start spring next year: www.gao-unit.com/join-us/ If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply! I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮

We were asked to do an online training on 'AI awareness' by admin. I almost failed the test, as I was not aware of some of the fundamental limitations of #AI4Science.

Not going to NeurIPS Nor Eurips, but the lab is showing cool new work on SBI and differentiable biophysics, do check it out and talk to them (we also have open positions …)!

Machine Learning in Science@mackelab.bsky.social · 8mo ago

Our group is at NeurIPS and EurIPS this year with four papers and one workshop poster. If you are either curious about SBI with autoML, with foundation models, or on function spaces or about differentiable simulators with Jaxley, have a look below 👇 1/11

@gmoss13.bsky.social et al sending SBI to space 🚀*!!!

Guy Moss@gmoss13.bsky.social · 8mo ago

I’m super excited to present our new work in #Eurips2025 and #Neurips2025! We developed FNOPE: a new simulation-based inference (SBI) method which excels at inferring function-valued parameters! Paper: openreview.net/forum?id=yB5... Code: github.com/mackelab/fnope (1/9)

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

AI tool for brain simulations links cellular detail to cognitive functions — MACHINE LEARNING for science

For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. A new AI tool opens possibilities to build brain simulations that can achieve both.

machinelearningforscience.de

Possibly the best part of the job: The amazing students and scientists we get to work with!

Machine Learning in Science@mackelab.bsky.social · 8mo ago

MackeLab has grown! 🎉 Warm welcome to 5(!) brilliant and fun new PhD students / research scientists who joined our lab in the past year — we can’t wait to do great science and already have good times together! 🤖🧠 Meet them in the thread 👇 1/7