New paper from the lab!
An artifact-robust framework for measuring tES effects during stimulation
Check this out 👇
🔴NEW PAPER🔴
Are you interested in analysing M/EEG signals recorded while applying tES? Then check out our new paper:
An artifact-robust framework for measuring tES effects during stimulation
By N. Noury, F. Damiani & M. Siegel @siegull
shorturl.at/73YEt
👇1/6
🚨
How does the brain represent natural images?
Using MEG + multivariate analysis, we disentangle contributions of retinotopy, spatial frequency, shape, and texture
Together, our results reveal how visual features jointly and dynamically support object recognition
preprint👇
Excited to share our latest preprint!
"An artifact-robust framework for measuring tCS effects during stimulation"
Our work establishes a novel approach to investigate online effects of tCS and suggests a state-dependent interaction of tACS with brain activity
Check it out 👇👇
Check out our new preprint:
A novel artifact-robust framework to investigate online effects of transcranial current stimulation (tCS). Further, we test this approach in an MEG study and find neural interaction between tCS and flickering visual stimulation.
biorxiv.org/content/10.1101/…
Siegellab retweeted
🔵 Tübingen SNS2025 - That’s a wrap! 🔵
2 inspiring days full of groundbreaking talks and great discussions about systems #neuroscience! 🧠
A huge thank you to all our speakers, presenters, and participants for making #SNS2025 such a success 🙌
See you next year in Tübingen 💙
Siegellab retweeted
✨ Meet our speakers! ✨
Among our speakers this year at #SNS2025 we have Simon Ebert & Jan Lause (@JanLause), from Hertie AI Institute, University of Tübingen
Read the abstract here 💬 👇
meg.medizin.uni-tuebingen.de…
#neuroscience
Siegellab retweeted
✨ Meet our speakers! ✨
Among our speakers this year at #SNS2025 we also have Sylvia Schröder from University of Sussex
Read the abstract here 💬 👇
meg.medizin.uni-tuebingen.de…
#neuroscience
Siegellab retweeted
✨ Meet our speakers! ✨
Among our speakers this year at #SNS2025 we have Tim Kietzmann (@TimKietzmann)
Read the abstract here 💬 👇
meg.medizin.uni-tuebingen.de…
#neuroscience #compneuro #NeuroAI
Siegellab retweeted
📢 Deadline extended! 📢
The registration deadline for #SNS2025 has been extended to Sunday, September 28th!
Register here 👉 meg.medizin.uni-tuebingen.de…
PS: Students of the GTC (Graduate Training Center for Neuroscience) in Tübingen can earn 1 CP for presenting a poster! 👀
Siegellab retweeted
✨ Meet our speakers! ✨
Next speaker to present is Arthur Lefevre, from University of Lyon
Read the abstract here 💬 👇
meg.medizin.uni-tuebingen.de…
#neuroscience
Siegellab retweeted
✨ 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…
Siegellab retweeted
🔵 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…
Siegellab retweeted
Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
arxiv.org/abs/2508.07115
✍️ @_AntoninoGreco @KarlFristonNews @GiovanniPezzulo @siegull et al. via @arxiv
👉 "The paper's findings pave the way for biologically- inspired vision architectures that move beyond purely feedforward or locally recurrent designs by incorporating top-down pathways and neural stochasticity"
@Corix_JC @jeanyvesgonin @sonu_monika @JagersbergKnut @ahier @sim010101 @maponi @EstelaMandela @Shi4Tech @CEO_Aisoma @SpirosMargaris @IngridVasiliu @dinisguarda @mvollmer1 @RamonaEid @ALLavalette @RLDI_Lamy @ChuckDBrooks @FernandaKellner @YvesMulkers @PVynckier @JoannMoretti @NeiraOsci @tlloydjones @SusanHayes_ @theomitsa @TarakRindani @FrRonconi @Nicochan33 @mikeflache @Khulood_Almani @TysonLester @Ym78200 @CurieuxExplorer @sulefati7 @amalmerzouk @MaryRich78 @pchamard @jeancayeux @Analytics_699 @TheAIObserverX @NathaliaLeHen @sminaev2015 @WillyRayNick @DanielleLargier
Siegellab retweeted
🔵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…
Siegellab retweeted
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, @GiovanniPezzulo & @siegull
🧵👇
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/10.1101/…
Full thread 🧵👇
📢 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…
See you there! 👋
🔵 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…
Siegellab retweeted
🔵 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…
🔴NEW PAPER🔴
Check out our new paper in Journal of Neural Engineering lead by @NimaNoury
👇
iopscience.iop.org/article/1…
📣 New paper from the lab out in @NatComputSci!
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 @NatComputSci!
STST as a framework for dynamic visual stimulus generation to study brain and machine vision
feat. @siegull
paper: nature.com/articles/s43588-0…
code: github.com/antoninogreco/STS…





















