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Lars Meyer

@languagecycles.bsky.social

Investigating and teaching neurobiology of language @ JGU Mainz, MPI Leipzig, & UK Münster; PI, ERC CoG BALANG & DFG 529614204 & 546844207 & G-BA 01VSF24036; Editor, "The Rhythms of Speech and Language" (CUP); Associate Editor, The Journal of Neuroscience

61 Posts611 Follower169 Folgt
Yifei He 何奕菲@yifeihe.bsky.social · 2mo ago

Very happy that our manuscript with my brilliant collaborators @jamestrujillo.bsky.social and @straubeb.bsky.social is now published @jneurolang.bsky.social. 🥳🥳🥳 Interested in gesture, discourse, fMRI, prediction, computational modeling? This is the paper for you 👇 doi.org/10.1162/NOL....

Discourse context and co-speech gestures jointly shape hierarchical prediction during the processing of a multimodal narrative

Abstract. Understanding one another in daily communication depends on predicting language from prior discourse context and visual signals, such as co-speech gestures. However, it remains unclear how d...

doi.org

James Trujillo @jamestrujillo.bsky.social · last yr.

When listening to a story, earlier parts of the story (context) and the speaker's gestures help us predict and understand what they are saying. In a new preprint we show context and gestures have a push-pull synergy on neural response to linguistic information 👇🧵

Giosuè Baggio@giosuebaggio.bsky.social · 2mo ago

New chapter w/ @jonrbrennan.bsky.social and @andreaeyleen.bsky.social in the Oxford Handbook of Philosophy of Linguistics. Explanation can help us integrate linguistics and neuroscience, if we exploit the diversity of directions and types of explanations available 🧵👇 books.google.no/books?hl=en&...

The Oxford Handbook of Philosophy of Linguistics

This Handbook presents cutting edge articles on the present state-of-the-art in the philosophy of linguistics. It features prominent linguists, philosophers, and cognitive scientists investigating fou...

books.google.no

Valentina Borghesani@vborghesani.bsky.social · 3mo ago

This is not a drill ⚠️ The abstract submission deadline is around the corner and you should all be planning your trip to Geneva.🇨🇭Get in touch if you have questions or comments.

SNL Annual Meeting@snlmtg.bsky.social · 3mo ago

Don't miss the latest episode of @smwilson.bsky.social's Language Neuroscience Podcast with @rmc-law.bsky.social and @vborghesani.bsky.social teasing the program of #SNL2026! 🍏 open.spotify.com/episode/0zAE... 🍎 podcasts.apple.com/us/podcast/s...

Keith B. Doelling@kbdoelling.bsky.social · 4mo ago

🚨 Post-doc Job ALERT! Interested in using AI to better understand how the brain enjoys music? Or how auditory processing changes in Hearing Loss? Want to eat your weight in 🥖, 🧀, and 🍷? Click on this! #neurojobs, #blackinneuro, #neuroskyence, #psychjobs research.pasteur.fr/en/job/postd...

Postdoctoral Position in AI, Machine Learning and Auditory Neuroscience - Research

Paris, France | Institut de l’Audition (Institut Pasteur)Duration: 24 months (flexible start)Supervisor: Keith Doelling (INSERM) About the position We are recruiting a postdoctoral researcher to focus...

research.pasteur.fr

Sophie Slaats@sophieslaats.bsky.social · 4mo ago

New paper! 🥳 When reading a sentence, do you rely on probabilistic or grammatical relations between words, or both? To find out, we designed an experiment that contrasts these two pressures. 🧵 in Cognition with @andreaeyleen.bsky.social & Antje S. Meyer www.sciencedirect.com/science/arti...

More than words: Effects of grammaticality and lexical surprisal in self-paced reading

Language comprehension requires the integration of information from a wide variety of sources, including sensory input and memory. The present study c…

sciencedirect.com

Jordi Martorell@jordimartorell.bsky.social · 4mo ago

New preprint! 🧠 We show that neural synchronization to abstract linguistic structures is independent from acoustic processing, even with stimuli mirroring natural speech! w/ the dream team @diliberg.bsky.social @nicolaml.bsky.social @languagecycles.bsky.social 🔗 doi.org/10.64898/202...

Bridging the neural synchronization to linguistic structures and natural speech comprehension

Speech comprehension involves the inference of abstract information from continuous acoustic signals. Prior work suggests that electrophysiological activity is synchronized with abstract linguistic structures (phrases and sentences) during the processing of isochronous syllable sequences. It is yet unclear whether this prior evidence generalizes to natural speech comprehension, which requires the flexible processing of continuous speech, where syllables and other types of linguistic units are anisochronous. Our magnetoencephalography experiment investigated neural synchronization to acoustic (syllables) and abstract units (phrases and sentences) using continuous speech ranging from artificial isochronous to more natural anisochronous. We find that neural synchronization to phrases and sentences, but not syllables, is resilient to naturalistic anisochrony. This suggests that linguistic structure processing reflects endogenous inferences that are fundamentally distinct from the exogenous processing of syllables driven by speech acoustics. Lateralization and linear regression results extend this functional dissociation as hemispheric asymmetry: stimulus-independent leftward lateralization for linguistic structure processing but stimulus-driven rightward lateralization (or bilaterality) for both syllable and acoustic processing. Our findings provide a more realistic characterization of the flexible neural mechanisms supporting the efficient comprehension of natural speech. ### Competing Interest Statement The authors have declared no competing interest.

doi.org

CJ@virmalised.us · 7mo ago

We wrote a thing -- showing you don't need LLMs to model language production dynamics like the tendency for speakers to reduce predictable words. All you have to do is better model how speech rate varies depending on where a word is and how long the utterance is. arxiv.org/abs/2512.23659

Less is more: Probabilistic reduction is best explained by small-scale predictability measures

The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship between language model probabilities and ...

arxiv.org

Lars Meyer@languagecycles.bsky.social · 6mo ago

Interested in a PhD intersecting clinical & fundamental language neuroscience? Help us uncover the neurological underpinnings of speech and language disorders! Work with me at UK Münster on a DFG-funded project, together w. Chris Kell & Katrin Neumann. Apply at jobs-sf.ukmuenster.de/job/UKM-PhD-...

PhD Student (gn*) Department of Phoniatrics and Pediatric Audiology

PhD Student (gn*) Department of Phoniatrics and Pediatric Audiology

jobs-sf.ukmuenster.de

Adele Goldberg@adelegoldberg.bsky.social · 6mo ago

another great paper from @mh-christiansen.bsky.social, showing that non-constituents* can be primed It's more evidence that traditional linguists were mistaken to believe memory was in short supply: Human memory is compressed, clustered, implicit and vast

Matt Bury, MA Online & Distance Ed & AppLing 🇪🇸@matbury.bsky.social · 6mo ago

@adelegoldberg.bsky.social Have you seen this? Nielsen, Y. A., & Christiansen, M. H. (2026). Evidence for the representation of non-hierarchical structures in language. Nature Human Behaviour, 1–10. doi.org/10.1038/s415...

Alexander Huth@alexanderhuth.bsky.social · 7mo ago

This paper had a pretty shocking headline result (40% of voxels!), so I dug into it, and I think it is wrong. Essentially: they compare two noisy measures and find that about 40% of voxels have different sign between the two. I think this is just noise!

Eiko Fried@eikofried.bsky.social · 7mo ago

Would love to hear expert views on this paper. It appears to show that the operationalization of brain activity the field has relied on for 3 decades—the BOLD response—is not actually a sensible measure of brain activity. www.nature.com/articles/s41...