as official as it gets lab account of the Siegellab - Large-Scale Neuronal Interactions - https://xitter.cf/t.co/OtIFo83JpB

Tübingen, Deutschland
Joined September 2016
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
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🚨 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👇
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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/…
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🔵 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 💙
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✨ 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
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✨ 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
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✨ 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
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📢 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! 👀
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✨ Meet our speakers! ✨ Next speaker to present is Arthur Lefevre, from University of Lyon Read the abstract here 💬 👇 meg.medizin.uni-tuebingen.de… #neuroscience
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✨ 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…
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🔵 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…
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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
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🔵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…
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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 🧵👇
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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 🧵👇
🔵New preprint🔵 We compared humans and deep neural networks on sound localization👂📍 Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD) Models localized well only in-training distribution sounds, failing on OOD regime Link & full story 🧵👇
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📢 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…
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🔵 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…
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🔴NEW PAPER🔴 Check out our new paper in Journal of Neural Engineering lead by @NimaNoury 👇 iopscience.iop.org/article/1…
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📣 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…
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