Very cool preprint from Siegellab @mightyrosequinn !! They show that in the human brain, choices are represented abstractly, even when the association between choice and motor response remains stable over time biorxiv.org/content/10.110…

🔴 Preprint time 🔴 "Abstract choice representations during stable choice-response associations" Check out this insightful 🧵 by @mightyrosequinn for a summary of how abstract choice info is represented in the brain, even when choice-response links remain stable! 👇👇👇

New preprint from our lab led by Nima Noury, showing that single motor units are detectable using OPM sensors! Our study highlights the potential of MMG 🧲 as a non-contact modality to measure and study muscle activity 💪in health and disease. Check the preprint and thread👇

Happy to announce that our paper linking predictive learning and representational geometry in the human brain is out today in Nature Communications! with Julia Moser, H. Preissl and Siegellab Paper: nature.com/articles/s4146… 🧵👇

New paper out in Nature Communications! Our findings show that in the human 🧠, large-scale neural interactions engaged in predictive processing modulate the sensory representational geometry in response to the statistical regularities of the environment. 📄➡ nature.com/articles/s4146…

Nature Communications Predictive learning shapes the representational geometry of the human brain nature.com/articles/s4146…

How does the brain adapt its neural representations to match statistical regularities in sensory input, and what role do prediction errors play in this process? Nature Communications Universität Tübingen "Predictive learning shapes the representational geometry of the human brain" • The brain

🧠Ein Team um Prof. Markus Siegel vom HIH (+Erstautor Antonino Greco) hat herausgefunden, dass unser Gehirn ständig die Wahrnehmung der Welt optimiert, indem es aus Erfahrungen der Vergangenheit lernt & Vorhersagen über die Zukunft trifft. Link zur PM 👉tinyurl.com/2p4axy3c

🔵 NEW PAPER 🔵 Spatiotemporal Style Transfer #STST is out on Nature Computational Science! STST as a framework for dynamic visual stimulus generation to study brain and machine vision feat. Siegellab paper: nature.com/articles/s4358… code: github.com/antoninogreco/…

🚨New Article alert! Antonino π Greco and Siegellab present an algorithm that enables video generation by selectively manipulating the spatial and temporal features of natural videos. nature.com/articles/s4358…

📣 New paper from the lab out in Nature Computational Science! Check out the STST algorithm for generating cool videos for vision research in biological and artificial systems 👇👇

🔵 Tübingen Systems Neuroscience Symposium 2025 🔵 #SNS2025 brings together leading international researchers in system neuroscience Join us for plenary lectures, poster sessions and social events on 6️⃣-7️⃣ October 2️⃣0️⃣2️⃣5️⃣ registration is open here 👉 meg.medizin.uni-tuebingen.de/sns_2025/

🔴NEW PAPER🔴 Check out our new paper in Journal of Neural Engineering lead by Nima Noury 👇 iopscience.iop.org/article/10.108…

📢 Exciting News! Tübingen Systems Neuroscience Symposium #SNS2025 will happen on 6️⃣-7️⃣ October! 🎉 Plenary lectures, poster sessions and social events with leading experts in the field 🧠 registration 👉 meg.medizin.uni-tuebingen.de/sns_2025 See you there! 👋

Check out our new preprint on spatial hearing👂 in humans and deep neural networks Humans exhibit more robust sound localization than models when probed with out-of-distribution sounds, like those lacking ITD and ILD! Link 👉 biorxiv.org/content/10.110… Full thread 🧵👇

Is top-down feedback enough for robust vision? We found ConvRNN with feedback connections exhibiting OOD robustness only when trained with dropout, revealing a dual mechanism for robust sensory coding with Marco D'Alessandro, Karl Friston, Giovanni Pezzulo & Siegellab 🧵👇

🔵Tübingen SNS 2025🔵 Registration is still open for the #SNS2025 event on 6-7 October! Join us for plenary lectures 🗣️, poster sessions📊and social events 👥 about system neuroscience!🧠 Registration at meg.medizin.uni-tuebingen.de/sns_2025

Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models arxiv.org/abs/2508.07115 ✍️ Antonino π Greco Karl Friston News Giovanni Pezzulo Siegellab et al. via arXiv.org 👉 "The paper's findings pave the way for biologically- inspired vision

🔵 Tübingen SNS2025 🔵 Over the next few days, we’ll be introducing you to the brilliant scientists who will be deliver their talks at #SNS2025! ✨ Get ready to meet our speakers! ✨ We are starting with Liina Pylkkänen, from New York University 💬 meg.medizin.uni-tuebingen.de/sns_2025/abstr…

✨ Meet our speakers! ✨ Next speaker to present is Mara Wolter, PhD student at University of Tübingen in Yulia Oganian lab Read the abstract here 💬 👇 meg.medizin.uni-tuebingen.de/sns_2025/abstr…