Reposted by Stan van der Burght 🟥Max Planck Institute for Psycholinguistics @mpi-nl.bsky.social · 12/05/2026Want to contribute to language research and earn €17.50? We’re looking for participants for a study with: 📍 1 session at the Max Planck Institute in Nijmegen 💻 1 online session from home ⏱️ Max. 30 minutes per session 🖼️ Task: naming pictures [follow thread for more info] 121
Reposted by Stan van der Burght 🟥andrea e. martin @andreaeyleen.eurosky.social · 13/04/2026OPEN POSTDOC position (part of @erc.europa.eu Consolidator DYNALANG) We build math&comp models of neural dynamics using insights from formal linguistics + ML Seeking theory-driven researchers w/ interests in language, neural dynamics, & math/comp neuroscience. Apply here: tinyurl.com/55exdpsetinyurl.comPostdoctoral Position in the Cognitive Computational Neuroscience of Language | Max Planck Institute 24141
Reposted by Stan van der Burght 🟥Max Planck Institute for Psycholinguistics @mpi-nl.bsky.social · 10/03/2026We’re looking for English native speakers (age 18–35) to take part in a short and fun online, PAID language experiment! You can participate anytime, anywhere, if you: (read comments) 323
Stan van der Burght 🟥 @stan-vd-burght.bsky.social · 09/10/2025Published in this week's Journal of Neuroscience: doi.org/10.1523/JNEUROSCI.0546-25.2025 Paper: tinyurl.com/yjw47vzz What a fun collaboration this was! With @glicalzi.bsky.social and Antje Meyer from @mpi-nl.bsky.socialdoi.orgThe Time Course of Phonological Encoding: Insights from Time-Resolved MVPATo produce a word, speakers need to decide which concept to express, select an appropriate item from the mental lexicon, and spell out its phonological form. The temporal dynamics of these processes r... 040
Stan van der Burght 🟥 @stan-vd-burght.bsky.social · 12/09/2025If you’re at #SNL2025 do make sure to drop by at @glicalzi.bsky.social’s poster. There’s speech production, EEG, MVPA - what’s not to like! 021
Stan van der Burght 🟥 @stan-vd-burght.bsky.social · 15/07/2025New preprint: using #MVPA of #EEG data we show that during #language #production, a word's stress pattern is available before information regarding syllable structure. By the incomparable @glicalzi.bsky.social (now at Uni Zurich) @mpi-nl.bsky.social osf.io/preprints/os...osf.ioOSF 193