Siegellab

📢 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! 👋

Excited for this in early October!

🔵 Tübingen Systems Neuroscience Symposium 2025 is here! 🔵

#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 @nimanoury.bsky.social

"Detecting single motor-unit activity in magnetomyography"

👇
iopscience.iop.org/article/10.1...

Abstract choice representations during stable choice-response associations - Communications Biology Human magnetoencephalography reveals neural representations of perceptual choices that are abstracted from motor-responses even during stable choice-response associations. This suggests a general role...

Fresh off the press - our latest publication on abstract choices with @siegellab.bsky.social @fsandhaeger.bsky.social @nimanoury.bsky.social @ezezelic.bsky.social at @commsbio.nature.com
Link: www.nature.com/articles/s42...
🧵below (1/7)

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior.

w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

🚨 New paper from the lab out in
@natcomputsci.bsky.social!

Check out the STST algorithm for generating cool videos for vision research in biological and artificial systems

👇👇👇

🔵 NEW PAPER 🔵

Spatiotemporal Style Transfer #STST is out on #NatureComputationalScience!

STST as a framework for dynamic visual stimulus generation to study brain and machine vision

feat. @siegellab.bsky.social
paper: www.nature.com/articles/s43...
code: github.com/antoninogrec...

🧵👇

A spatiotemporal style transfer algorithm for dynamic visual stimulus generation - Nature Computational Science The spatiotemporal style transfer (STST) algorithm enables video generation by selectively manipulating the spatial and temporal features of natural videos, fostering vision science research in both b...

🚨New Article alert! @agreco.bsky.social and @siegellab.bsky.social present an algorithm that enables video generation by selectively manipulating the spatial and temporal features of natural videos. www.nature.com/articles/s43... #compneuro #VisionScience

Several plots showing the distribution of neural information about abstract choices and motor actions across the human brain.

Check out our work led by Katrina Quinn, showing that neural representations of abstract choice aren't just due to a requirement to flexibly & rapidly switch between choice-motor mappings. This points to a general role of abstraction in decision-making.
#neuroscience www.biorxiv.org/content/10.1...

Hey blueskyers, we created a starter pack of the members of the Siegel Lab so you can easily follow our scientific updates 🙂

#scisky #academics #neuroscience

Check it out 👇
go.bsky.app/Lyatq2g

Predictive learning shapes the representational geometry of the human brain - Nature Communications This study shows that the human brain aligns its neural representations to the statistical structure of sensory inputs, and that the magnitude of this representational shift correlates with the synerg...

🔵 New Paper 🔵

Happy to announce that our paper linking predictive learning and representational geometry in the human 🧠 is out today in #NatureComms!

with @drjuliamoser.bsky.social, Hubert Preissl and Markus Siegel

📜👉 nature.com/articles/s41467-024-54032-4

Intro time!

We are the Siegel Lab, located at the @unituebingen.bsky.social and @hih-tuebingen.bsky.social

Our central goal is to investigate how cognition emerges from dynamic interactions across widely distributed neuronal ensemble, combining mainly human MEG and animal electrophysiology.