Xiongbo Wu
@xiongbowu.bsky.social
71 followers 82 following 7 posts
Postdoctoral researcher in cognitive neuroscience at LMU, Munich
Posts Media Videos Starter Packs
Pinned
xiongbowu.bsky.social
🚨 New preprint alert!

Excited to share our latest work on alpha/beta activity, eye movements, and memory.

Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.

👇 Highlights (1/7):
biorxiv-neursci.bsky.social
Low-frequency brain oscillations reflect the dynamics of the oculomotor system: a new perspective on subsequent memory effects https://www.biorxiv.org/content/10.1101/2025.07.29.667451v1
Reposted by Xiongbo Wu
tschreiner.bsky.social
🚀 Excited to share our lab’s contributions at #ICON2025 in Porto!
Catch talks & posters from
@aprilzhao.bsky.social
@asanchezcorzo.bsky.social
@fabian31415.bsky.social
@estebanbt.bsky.social
Reposted by Xiongbo Wu
tobiasstaudigl.bsky.social
Also on the way to #ICON2025 in beautiful Porto?

Check the lab’s latest work:
@xiongbowu.bsky.social: Talk in SY16, Tuesday 9.00, room Boavista;
Aditya Chowdhury: Poster P1.11, Tuesday 10.45
@julia-sc.bsky.social: Poster P3.18, Wednesday 10.45
@tafgmcb.bsky.social: Poster 4.32, Wednesday 15.30
xiongbowu.bsky.social
Huge thanks to my brilliant supervisor Tobias Staudigl (@tobiasstaudigl.bsky.social) for his guidance and support, to our amazing collaborators (Tzvetan Popov, Tara Beilner @tafgmcb.bsky.social, and others at LMU Munich), and to the participants and patients who took part in the study!
(7/7)
xiongbowu.bsky.social
✅ In sum, our findings show that neglecting eye movements leads to an incomplete understanding of the alpha/beta subsequent memory effect. We advocate for new perspectives on interpreting the alpha/beta SME and on the function of alpha/beta activity in general (6/7).
xiongbowu.bsky.social
📌 We also show that eye movements shape alpha/beta activity on a moment-to-moment basis and alpha/beta amplitude reductions can be explained by accumulated eye movements.

Here’s Experiment 1 as an example (5/7):
xiongbowu.bsky.social
📌 By manipulating eye movements, we provide causal insights that eye movements drive alpha/beta power reductions (4/7).
xiongbowu.bsky.social
📌 When participants attempted fixation, the alpha/beta subsequent memory effect disappeared, while visual exploration continued to modulate alpha/beta power (3/7).
xiongbowu.bsky.social
📌 The degree of visual exploration was the consistent and robust modulator of alpha/beta power reductions.

The figure below shows this in Experiment 1 during free viewing. Check out the preprint for consistent findings across all 4 experiments (2/7).
xiongbowu.bsky.social
🚨 New preprint alert!

Excited to share our latest work on alpha/beta activity, eye movements, and memory.

Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.

👇 Highlights (1/7):
biorxiv-neursci.bsky.social
Low-frequency brain oscillations reflect the dynamics of the oculomotor system: a new perspective on subsequent memory effects https://www.biorxiv.org/content/10.1101/2025.07.29.667451v1
Reposted by Xiongbo Wu
lmumuenchen.bsky.social
Two #LMU projects receive ERC #ProofOfConcept Grants!
🌿 Silke Robatzek is pursuing a novel approach in plant protection strategies.
🧠 @tobiasstaudigl.bsky.social optimizes deep brain stimulation with functional markers.
#LMU #ERC #ResearchInThePractice Read more here: www.lmu.de/en/newsroom/...
Reposted by Xiongbo Wu
tobiasstaudigl.bsky.social
📢 New preprint from the lab:

We are very excited to report the discovery of an oscillation in the Central Thalamus using rare direct recordings of human thalamic electrophysiology.

The novel oscillation is tightly coupled to specific, natural states of consciousness.🧵
biorxiv-neursci.bsky.social
Thalamic oscillations distinguish natural states of consciousness in humans https://www.biorxiv.org/content/10.1101/2025.01.28.635248v1
Reposted by Xiongbo Wu
jazzmaniatico.bsky.social
🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs?

We explore these questions using fMRI and large-scale representational alignment analyses.

🔗 arxiv.org/abs/2507.13941

Thread👇 (1/8)
Convergent transformations of visual representation in brains and models
A fundamental question in cognitive neuroscience is what shapes visual perception: the external world's structure or the brain's internal architecture. Although some perceptual variability can be trac...
arxiv.org