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C3N

@c3neuro.bsky.social
85 followers 97 following 12 posts

Led by PI @stefanieliebe.bsky.social : We use #AI tools to analyze neural activity and behavior in humans, bridging basic research on cognition and clinical applications, with a focus on #epilepsy. Based in Tübingen, Germany. liebelab.github.io

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Meghal Dani @meghaldani.bsky.social · 27/05/2026
A medical LLM can give the right answer for the wrong reasons. Delighted our work is now published in Nature Communications Medicine — evaluating 8 LLMs on 1,269 unstructured seizure descriptions, with a practical guideline to use AI in clinical setup 🧵 doi.org/10.1038/s438...
doi.org
Evaluating large language models for diagnostic reasoning from unstructured clinical narratives in epilepsy - Communications Medicine
Dani et al. investigate the potential and limitation of large language models in a core clinical task in epilepsy care: mapping seizure descriptions to seizure onset zones. Their findings show that pr...
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Reposted by C3N
LOOPs_spp2411 @brainloops.bsky.social · 06/10/2025
‼️It’s happening! We’re officially kickstarting the joint SPP x SFB1233 Women’s Retreat! So wonderful to see all the inspiring PhDs, PIs, and beyond coming together to connect, share, and support each other. 💬✨ Here’s to a retreat full of inspiration, collaboration, and connection! #SPPXSFB #Neuro
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C3N @c3neuro.bsky.social · 30/09/2025
✨ Come meet us at the poster sessions — we’re thrilled to exchange ideas, spark new collaborations, and celebrate science together! ✨
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C3N @c3neuro.bsky.social · 30/09/2025
📅 Wednesday 01.10.2025 | 12:30 – 14:00 🔹 PIII-9: @raeesmk.bsky.social presents “Modeling Spatial Hearing with Cochlear Implants Using Deep Neural Networks” 🤝 Joint work with @jakhmack.bsky.social
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C3N @c3neuro.bsky.social · 30/09/2025
📅 Wednesday 01.10.2025 | 12:30 – 14:00 🔹 PIII-7: @meghaldani.bsky.social presents “SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical Narratives in Epilepsy” 🧩🤖
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C3N @c3neuro.bsky.social · 30/09/2025
📅 Tuesday 30.09.2025 | 18:00 – 19:30 🔹 PII-14: @muthujeyanthi.bsky.social presents “Gamma–Theta–Spike Interactions Coordinate Sequence Representation in Human MTL” 🤝 In collaboration with Florian Mormann @unibonn.bsky.social
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C3N @c3neuro.bsky.social · 30/09/2025
Hello Frankfurt 🇩🇪 - We are excited to share the latest result from our group and collaborators at @bernsteinneuro.bsky.social 🚀🧠 #BernsteinConference Thanks to @brainloops.bsky.social, @ekfstiftung.bsky.social and @cherish-msca.bsky.social for supporting these projects and our scholars.
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Muthu Jeyanthi @muthujeyanthi.bsky.social · 28/03/2025
🧠 Excited to present my research at #NWG2025, supervised by @stefanieliebe.bsky.social! "Representation of Sequence Memory in the Human Medial Temporal Lobe" 📍 Hall 8 (S20) ⏰ 11:30 AM Today @c3neuro.bsky.social @neurowissg.bsky.social @brainloops.bsky.social #Neuroscience #LOOPSatNWG
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C3N @c3neuro.bsky.social · 24/03/2025
(6/6) We thank @dfg.de @ml4science.bsky.social @brainloops.bsky.social @tuebingen-ai.bsky.social for the support!
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C3N @c3neuro.bsky.social · 24/03/2025
(5/6) In summary: Phase of firing reflects temporal order of items through a revised mechanism linking oscillatory phase, stimulus timing, and memory - and not through direct, order-preserving encoding
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C3N @c3neuro.bsky.social · 24/03/2025
(4/6) Analysis of the RNN nd comparison with human recordings suggests a more general idea: Phase of firing is shaped by an interaction of the dynamics of stimulus presentation and oscillation frequency.
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C3N @c3neuro.bsky.social · 24/03/2025
(3/6) We asked: How would a recurrent neural network solve the task? In a similar way: it also showed phase-structured firing that didn’t match item order, just like the human brain data.
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C3N @c3neuro.bsky.social · 24/03/2025
(2/6) Despite observing strong theta oscillations and phase-specific firing for items, we found no evidence that neurons fire in the same sequence as items were presented. (A direct contradiction to a classical prior theory)
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C3N @c3neuro.bsky.social · 24/03/2025
(1/6) With @stefanieliebe.bsky.social, J. Niediek, @matthijspals.bsky.social , @humansingleneuron.bsky.social & @mackelab.bsky.social. We recorded from 1,420 neurons and 921 LFP channels in human MTL in epilepsy patients during sequential working memory.
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C3N @c3neuro.bsky.social · 24/03/2025
Science Alert 🚨: Our paper is now out in @natureneuro.bsky.social - We show that the firing phase of neurons in human MTL doesn’t reflect the order of events, challenging a long-standing theory of human memory. nature.com/articles/s41593-025-01893-7
nature.com
Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks - Nature Neuroscience
The temporal order of events in working memory is thought to be reflected by ordered neuronal firing at different phases. Here the authors show that this is not the case and that phase order is linked...
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