C3N
@c3neuro.bsky.social
66 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. https://liebelab.github.io
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Reposted by C3N
brainloops.bsky.social
‼️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
c3neuro.bsky.social
✨ Come meet us at the poster sessions — we’re thrilled to exchange ideas, spark new collaborations, and celebrate science together! ✨
c3neuro.bsky.social
📅 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
c3neuro.bsky.social
📅 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” 🧩🤖
c3neuro.bsky.social
📅 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
c3neuro.bsky.social
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.
Reposted by C3N
🧠 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
c3neuro.bsky.social
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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
c3neuro.bsky.social
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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.
c3neuro.bsky.social
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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.
c3neuro.bsky.social
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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)
c3neuro.bsky.social
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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.