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glicalzi.bsky.social
Giulia Li Calzi
@glicalzi.bsky.social
27 followers 52 following 2 posts
PhD student | NCCR Evolving Language | MPI for Psycholinguistics 🧠🔬
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mpi-nl.bsky.social
Max Planck Institute for Psycholinguistics @mpi-nl.bsky.social · 1d
The time course of phonological encoding: Insights from time-resolved MVPA. New paper by @glicalzi.bsky.social , Antje S. Meyer & @stan-vd-burght.bsky.social
doi.org/10.1523/JNEUROSCI.0546-25.2025
Paper: tinyurl.com/yjw47vzz
The Time Course of Phonological Encoding: Insights from Time-Resolved MVPA
To 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...
doi.org
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Reposted by Giulia Li Calzi
nccrlanguage.bsky.social
NCCR Evolving Language @nccrlanguage.bsky.social · 4d
📰 NCCR members participated to the SNL 2025 conference and organized a follow-up virtual activity on the evolution of language. This was a great introduction to the next edition, which will be held in Geneva from September 30 to October 2, 2026.

👉 evolvinglanguage.ch/tightening-t...
Tightening the relation between the NCCR Evolving Language and the Society for the Neurobiology of Language (SNL) - NCCR Evolving Language
Nina Kazanina, Valentina Borghesani, and Giulia Li Calzi represented the NCCR Evolving Language at the Society for the Neurobiology of Language (SNL) 2025 conference. This was a great introduction to ...
evolvinglanguage.ch
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glicalzi.bsky.social
Giulia Li Calzi @glicalzi.bsky.social · 28d
Not at #SNL2025? Download the pre-print of our upcoming #JNeurosci article here: osf.io/rabek
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glicalzi.bsky.social
Giulia Li Calzi @glicalzi.bsky.social · 28d
Curious to learn what EEG-MVPA can tell us about speech production planning? Come find me at #SNL2025 - poster A25, Friday 11:00-12:30 @stan-vd-burght.bsky.social @mpi-nl.bsky.social
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Reposted by Giulia Li Calzi
stan-vd-burght.bsky.social
Stan van der Burght 🟥 @stan-vd-burght.bsky.social · Jul 15
New 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
osf.io
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